approved - University of Calicut

UNIVERSITY OF CALICUT Abstract Faculty of Engineering – Scheme & Syllabus of M.Tech Course in Instrumentation & Control Systems – approved – Implemented – with effect from 2011 admission – Orders issued. ==================== ============= ============== ==== == General and Academic Branch – IV ‘E’ Section No.GA.IV/E1/8226/2011(4) Dated Calicut University P.O. 08.05.2012. ==================================================== == Read:-

1. U.O.No.GA.IV/E1/1894/2003(S.F) dated 07.10.2011.. 2. Minutes of the meeting of Board of Studies in Engineering (P.G) held on 30.03.2012 (Item.No.1) 3. Orders of Vice-Chancellor in the file of even No. dated 17.04.2012. 4. Letter from the Dean, Faculty of Engineering dated 23.04.2012. 5. Orders of Vice-Chancellor in the file of even No. dated 03.05.2012. ORDER

As per paper read as (1) above, an expert committee consisting of following members were constituted for framing the syllabus for the M.Tech Course in Instrumentation and Control Systems. a) Dr.Thajudin Ahamed .V.I(Convenor) Professor & Head, Dept. of Electronics and Communication Engineering, Govt.Engineering College, Idukki, Painav. b) Dr.C.Sathish Kumar, Professor, Dept.of.Electronics & Communication Engineering Govt.Engineering College, Wayanad, Thalapuzha P.O., Mananthavady – 670644. c) Dr.N.Vijayakumar, Associate Professor, Dept.of.Electronics and Communication Engineering, Govt.Engineering College, Thalappuzha.P.O, Manathavady – 670 644. Vide paper read as 2nd above, the meeting of Board of Studies in Engineering (P.G) held on 30.03.2012, vide item.No. 1 unanimously resolved to approve the Scheme & Syllabus of the M.Tech course in Instrumentation and Control Systems. Vide paper read as 3rd above, the Vice-Chancellor had ordered to seek the opinion of the Dean, Faculty of Engineering regarding the approval of the minutes of the meeting of the Board of Studies in Engineering (PG) held on 30.03.2012 The Dean, Faculty of Engineering vide paper read as 4th above, recommended for the approval of the minutes of the meeting of the Board of Studies in Engineering (PG) held on 30.03.2012. Considering the urgency of the matter, the Vice-Chancellor has accorded sanction to implement the Scheme & Syllabus of the M.Tech Course in Instrumentation and Control Systems, subject to ratification by the Academic Council, vide paper read as 5th above. Sanction has therefore been accorded for implementing the Scheme & Syllabus of the M.Tech course in Instrumentation and Control Systems with effect from 2011 admission onwards.

Orders are issued accordingly. (The Syllabus is available in the University website) Sd/DEPUTY REGISTRAR (GA.IV) For Registrar. To The Principals of all affiliated Engineering Colleges offering M.Tech Course. Copy to :- P.S to V.C/PA. to PVC/ P.A. to Registrar/P.A to C.E/Enquiry Ex.Sn/EG Sn/DR,M.Tech M.Tech.Tabulation Section/Dean,Faculty of Engineering/ Chairman, BOS in Engg (PG)&(UG) System Administrator (with a request to upload in the university website)/ SF/FC

Forwarded/By Order Sd/SECTION OFFICER

UNIVERSITY OF CALICUT

SCHEME AND SYLLABUS FOR

M.Tech in INSTRUMENTATION & CONTROL SYSTEMS (2011 Admission onwards)

Scheme and Syllabus for M. Tech Programme in Instrumentation & Control Systems

SEMESTER 1 Sl. No. 1 2

3 4 5 6 7

Course code

Subject

EIC11 101

Applied

EIC11 102

Mathematics Modern

EIC11 103

L

Hours/week T P

ICA

ESE

Total

Credits

3

1

0

100

100

200

4

Control 3

1

0

100

100

200

4

200

4

200

4

Systems Advanced

3 1 0 100 100 Instrumentation Discrete Data Control EIC11 104 3 1 0 100 100 Systems EIC11 105 Elective 1 3 1 0 100 100 EIC11 106 (P) Instrumentation lab 0 0 2 100 EIC11 107 (P) Seminar 0 0 2 100 TOTAL 15 5 4 700 500 L-Lecture T-Tutorial P-Practical ICA-Internal Continuous Assessment Semester Examination

200 4 100 2 100 2 1200 24 ESE-End

ELECTIVE I EIC11 105 (A)

Computer Controlled Systems

EIC11 105 (B)

Data Communications

EIC11 105 (C) EIC11 105 (D)

Optimization Techniques Biomedical Instrumentation

Note: 6 hours/week is meant for departmental assistance by students. Each student has to take up work assigned by the Head of the Department.

SEMESTER 2 Sl. No.

Course code

1

EIC11 201

2

EIC11 202

3 4 5

EIC11 203 EIC11 204 EIC11 205

Subject Process

Control

Instrumentation Optimal & Adaptive Control Theory Non-linear Systems Elective II Elective III

Hours/week L T P

ICA

ESE

Total

Credits

3

1

0

100

100

200

4

3

1

0

100

100

200

4

3 3 3

1 1 1

0 0 0

100 100 100

100 100 100

200 200 200

4 4 4

6 7

EIC11 206 (P) EIC11 207 (P)

Control System lab 0 0 2 100 Seminar 0 0 2 100 TOTAL 15 5 4 700 500 L-Lecture T-Tutorial P-Practical ICA-Internal Continuous Assessment

100 100 1200

2 2 24

ESE-End Semester Examination ELECTIVE II EIC11 204 (A)

System Identification and Parameter Estimation

EIC11 204 (B)

Robotics System and Applications

EIC11 204 (C)

Mechatronics

EIC11 204 (D)

Switched Mode Power Converters

ELECTIVE III EIC11 205 (A)

Embedded Controllers in Real Time Systems

EIC 11 205 (B)

DSP and its Application

EIC11 205 (C)

Variable Structure Control Systems

EIC11 205(D)

Data Acquisition and Signal Conditioning

Note: 6 hours/week is meant for departmental assistance by students. Each student has to take up the work assigned by the Head of the Department.

SEMESTER 3 Sl.

Course

No. code 1 EIC11 301 2 EIC11 302 3

4

EIC11 303(P) EIC11 304(P)

Hours/week L T P

ICA

ESE

Total

Credits

Elective IV Elective V

3 3

1 1

0 0

100 100

100 100

200 200

4 4

Industrial

-

-

-

50

-

50

1

300

6

750

15

Subject

Training* Master Research

Project Phase I TOTAL

0

0

22

6

2

22

*Industrial Training is for a minimum period of two weeks

Guide

EC

150

150 550

200

L-Lecture T-Tutorial P-Practical ICA-Internal Continuous Assessment ESE-End Semester Examination EC-Evaluation Committee ELECTIVE IV EIC11 301 (A)

Research Methodologies

EIC11 301 (B)

Robust Control

EIC11 301 (C)

Advanced topics in Control Systems

EIC11 301 (D)

Bio-sensors

ELECTIVE V EIC11 302 (A)

VLSI Architecture & Design Methodologies

EIC11 302 (B)

Soft Computing Techniques

EIC11 302 (C)

Industrial Instrumentation

EIC11 302 (D)

Optimal Estimation and Filtering

Note: 6 hours/week is meant for departmental assistance by students. Each student has to take up the work assigned by the Head of the Department.

SEMESTER 4 Sl. No.

Hours/week

Course cod

Subject

L

T

P

ICA ESE Evaluation External Viva Guide

e

Committe

Examine

e

r

150

150

Voce

Total Credits

Master 1

EIC11 401

Research Project

0

0

30

150

150

600

12

Phase II L-Lecture T-Tutorial Examination.

P-Practical ICA-Internal Continuous Assessment ESE-End Semester

Note: 6 hours/week is meant for departmental assistance by students. Each student has to take up the work assigned by the Head of the Department. Total credits for all semesters: 75

=================================================== SEMESTER 1 =================================================== APPLIED MATHEMATICS EIC11 101

(Common for EPS10 101 EPE10 101&EIC11 101) Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective Objective: To enable the students to apply probability and reliability theory in various electrical engineering problems MODULE 1 (13 Hours) Probability: Probability distributions – Binomial – Poisson – Normal – Uniform – Exponential – Weibull - Log normal – Beta – Gama - Joint distributions. Sampling distributions: Sampling distributions of mean and variance – Estimation - Point animation - Interval Estimation - Test of hypothesis. MODULE 2 (14 Hours) Curve fitting: Method of least squares - Normal equations - Fitting of straight line - Fitting of second degree curve - Correlations and regressions - Curvilinear regression - Multiple regression & multiple correlation. Design of experiments: Analysis of variance - statistical principle of experimentation - Basic designs - Completely randomized design- Randomized block design. MODULE 3 (14 Hours) Stochastic Process: Examples - Specifications of Stochastic Process - stationary process. Markov chains: Definition and examples - Transition matrix - order of Markov chain - higher transition probabilities - Generalization of independent Bernoulli trails, Markov – Bernoulli chain - Correlated random walk - Classification of states and chains - Determination of higher transition probabilities - Stability of Markov system. MODULE 4 (13 Hours) Reliability: series configuration - Parallel configuration - An r-out of n configuration - Failure time distributions - Exponential model in reliability - Exponential model in life testing – Weibull model in life testing

REFERENCES: 1. Miller & Freud's- Probability and statistics in Engineering -6th edition, Pearson

edition. 2. Schupta and V.K.Kapoor Fundamentals of statistics(Sultan Chand) 2nd edition New age international publicationChapter 2.1,2.2,2.3,3.1,3.2.3.3,3.4,3.5,3.6

3. J. Medhi- Stochastic Process-

4. Martin Shoo manengineering Approach

Mc

Graw

Hill-Probabilistic

reliability

An

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination whichever suits best. There will be a minimum of two tests per subject. The assessment details are to be announced at the beginning of the semester by the teacher. End Semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4

Qu Question 1 : 20 marks


Question 5 : 20 marks






EIC11 102

MODERN CONTROL SYSTEMS Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective This course is intended to introduce design using state space model, basics of optimal control theory, robust control and predictive control. MODULE 1 (14 Hours) Review of State space modeling and analysis, controllability and observability concepts- State feedback and implementation- Arbitrary placement of poles using state feed back for continuous and discrete systems using controllable canonical form and any other state model - Design of full order and reduced order observers for implementing state feedback Separation principle. MODULE 2 (13 Hours) Introduction to optimal control - Different types of performance measures - Linear quadratic regulator problem - Matrix Riccatti Equation - Linear Quadratic Gaussian (LQG) problem Properties of Linear Quadratic Regulator (LQR) design - Optimal observers - LQG problem Critique of LQG, Model-Reference control systems-design of controller, control system optimization by the second method of Liapunov. MODULE 3 (14 Hours) Feed forward control – Introduction - Ratio control - Feed forward controller design based on steady state models and dynamic models - Relationship between steady state and dynamic design methods - Configuration of feed forward control. Model predictive control – Overview Prediction for Single Input Single Output (SISO) models - Multiple Input Multiple Output (MIMO) models - Model predictive control calculations - Set point calculations - Selection of design and tuning parameters - Implementation of model predictive control. MODULE 4 (13 Hours) Robust control system design-system sensitivities to parameter perturbation, sensitivity of a control system, system with uncertain parameters, stability of uncertain systems, design considerations for robust control system, design of robust PID controlled system. Text Books 1. K.Ogata, Modern control Engineering, Prentice Hall Inc. 2. K.Ogata, Discrete time control systems, Prentice Hall Inc. 3. M.Gopal, Modern Control System Theory, New age International (P) Ltd.

4. Richard.C.Dorf and R.T Bishop, Modern Control System, Prentice Hall Inc.

REFERENCES 1. Thomas Kailath, Linear Systems, Prentice Hall Inc. 2. C.T.Chen, Linear system theory and design, New York,Holt Rinechart and Winston , 1984. 3. J.C.Doyle,B.A. Francis and A.R. Tannenbaum,Feedback control theory, Macmillan

publishing Company, New York 1992. 4. Raymond Stefani, Bahram Shahian , Clemednt J Savant : Design of feedback Systems –

Oxford University Press (2002). 5. K.Morris, Introduction to feedback control, Academic Press 2001. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3







Module 4 Qu Question 7 : 20 marks Question 8 : 20 marks

EIC11 103

ADVANCED INSTRUMENTATION Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective This course provides an exposure to the students on characteristics of instruments, sensors and transmitters. Also it gives an overview of data acquisition systems and virtual instrumentation. MODULE 1 (14 Hours) General concepts and terminology of measurement systems, static and dynamic characteristics, errors, standards and calibration. - Least square calibration curves - Calibration accuracy installed accuracy - Effect of measurement error on quality control decision in manufacturing - static sensitivity - Computer aided calibration and measurement -Generalized Mathematical modeling of instruments - Classification of instruments based on their order - response of instruments to standard test input (Step ,Impulse, ramp) -frequency response studies. MODULE 2 (12 Hours) Sensors, Thermal sensors - Metal resistance versus temperature devices - Resistance temperature detectors - Characteristics of thermistor and thermocouple - Design considerations of thermal sensors - Introduction to transmitters - Two wire and four wire transmitters - Smart and intelligent transmitters - Design of transmitters. MODULE 3 (14 Hours) Cable transmission of analog voltage and current signals - Cable transmission of digital data – Fiber optic data transmission - Radio telemetry - Synchro position repeater systems - Slip rings and rotary transformers. Engineered data acquisition and processing Systems - Versatile modular system emphasizing analog signal processing - Instrument inter connection systems - Sensor based computerized data system - Computer aided experimentation - Conditional description of the computer system. MODULE 4 (14 Hours) Historical perspective – Advantages - Block diagram and architecture of a virtual instrument – Data flow techniques - Graphical programming in data flow - Comparison with conventional programming - Development of virtual Instrument using Graphical User Interface (GUI). Introduction to Lab VIEW - Software environment - Front panel - Block diagram – Palettes – Loops - Structures and Tunnels – Arrays – Clusters - Plotting data.

Text Books 1. E. O. Doebelin, Measurement Systems - Application and Design, Fifth Edition,Tata McGraw-Hill International Edition, New York, 2005. 2. Dale E. Seborg, Thomas F. Edgar, Duncan A. Melli Champ, Process Dynamics and Control, Second Edition, Wiley-India, 2011. 3. Gary Johnson, LabVIEW Graphical Programming, Second edition, McGraw Hill, New York, 1997. REFERENCES 1. John P. Bentley, Principles of Measurement Systems, Third Edition, Addison Wesley Longman Ltd., U.K., 2000. 2. Curtis D. Johnson, Process Control Instrumentation Technology, Eighth Edition, Pearson

Prentice Hall, 2011. 3. Lisa K. wells & Jeffrey Travis, LabVIEW for everyone, Prentice Hall, New Jersey.

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module.

Module 1

Module 2

Module 3







Module 4 Qu Question 7 : 20 marks Question 8 : 20 marks

EIC11 104

DISCRETE DATA CONTROL SYSTEMS

Credits: 4

Hours/week: Lecture-3 and Tutorial-1 Objective To study the analysis and design of digital control systems-classical and advanced design methods for digital control system. MODULE 1 (12 Hours) Introduction to discrete time control system - Block diagram of a digital control system - Typical examples - Sampling process - Data reconstruction and hold circuits - Zero and first order hold - Review of z- transforms and inverse z- transforms - Solution of difference equations Pulse transfer function - Pulse transfer function with dead time - System time response Realization of pulse transfer functions (Digital Controllers) - Direct programming Standard programming - Series programming- Parallel programming - Ladder programming. MODULE 2 (16 Hours) Review of stability analysis in z-plane - Jury’s stability test and extension of Routh’s stability criterion to discrete systems - Transient and steady state response analysis - Transient response specifications- Steady state error analysis - Construction of root loci - Effect of sampling period on transient response specifications - Frequency response specifications Nyquist stability criterion in the z- plane - Digital Controllers - PI, PD & PID Controllers Lag, lead, and lag-lead compensators - Design of lag compensator and lead compensator based on root locus and Bode plot approaches. MODULE 3 (14 Hours) State Space analysis of digital control systems - State space representation of discrete time systems - Transfer function from state model - Diagonal/ Jordan Canonical forms from transfer function - Solution of linear time invariant discrete time state equations Discretization of continuous time space equation- Representing state models in Combinatorial Canonical Form (CCF), Observable Canonical Form (OCF), Diagonal Canonical Form (DCF)/ Jordan Canonical Form (JCF) using transformation matrix. MODULE 4 (12 Hours) Concept of controllability and observability for a linear time invariant discrete time control system - Condition for controllability and observability - State feedback - Condition for arbitrary pole placement - Design via pole placement - State observers - Design of full order state observer.

Text Books 1.

K. Ogata, Discrete time control systems, PHI.

2. M. Gopal, Digital Control and State Variable Methods, Tata McGraw Hill.

3. B. C. Kuo, Digital Control Systems, Prentice Hall.

REFERENCES 1. Charles L. Philip and Troy Nagle, Digital control Systems, Prentice Hall.

2. G.F.Franklin, J.D.Powell, and M.L.Workman, Digital Control of Dynamic Systems, AdisonWesley Longman Inc.,Menlo park. 3. C.H.Houpis and G.B.Lamont, Digital Control Systems, Mc Graw Hill.

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









ELECTIVE 1

EIC11 105(A)

COMPUTER CONTROLLED SYSTEMS

Credits: 4

Hours/week: Lecture-3 and Tutorial-1 Objective Giving an exposure to the students on different types of controllers and their implementations. Computer based control techniques are also discussed. MODULE 1 (14 hours) Multivariable control - Basic expressions for MIMO systems - Singular values - Stability norms - Calculation of gain analysis - Effects of interaction - Response to disturbances - Decoupling system norms – Robustness - Robust stability - H2 / H∞ Theory - Interaction and decoupling - Relative. MODULE 2 (13 hours) Programmable logic controllers - Organization- Hardware details - I/O- Power supply - CPU-

Standards - Programming aspects - Ladder programming - Sequential function charts Man- machine interface - Detailed study of one model. MODULE 3 (15 hours) SCADA: Introduction - SCADA architecture Different communication protocolsCommon system components - Supervision and control - Human Machine Interface (HMI) - Remote Terminal Unit (RTU) and Supervisory Stations - Trends in SCADA - Security Issues. DCS: Introduction - DCS Architecture - Local Control Unit (LCU) architecture - LCU languages - LCU - Process interfacing issues - Communication facilities - Configuration of DCS - Displays - Redundancy concept . MODULE 4 (12 hours) Real time systems - Real time specifications and design techniques - Real time kernels - Inter task communication and synchronization - Real time memory management Supervisory control - Direct digital control - Distributed control - PC based automation.

Text Books 1. Shinskey F.G., Process control systems: application, Design and Tuning, McGraw

Hill International Edition, Singapore, 1988. 2. Dorf, R.C. and Bishop R. T., Modern Control Systems, Addison Wesley Longman Inc.,

1999. 3. Stuart A. Boyer: SCADA- Supervisory Control and Data Acquisition, Instrument Society

of America Publications,USA,1999. 4. Efim Rosenwasser, Bernhard P. Lampe, Multivariable computer-controlled systems: a

transfer function approach, Springer, 2006. REFERENCES 1. Be.langer P.R., Control Engineering: A Modern Approach, Saunders College Publishing,

USA, 1995. 2.

Laplante P.A., Real Time Systems: An Engineer.s Handbook, Prentice Hall of India Pvt. Ltd., New Delhi, 2002.

3. Constantine H. Houpis and Gary B. Lamont, Digital Control systems, McGraw Hill Book

Company, Singapore, 1985. 4.

Gordon Clarke, Deon Reynders : Practical Modern SCADA Protocols: DNP3, 60870.5 and Related Systems, Newnes Publications, Oxford, UK, 2004.

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module.

Module 1

Module 2

Module 3

Module 4









EIC11 105(B)

DATA COMMUNICATIONS Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective Giving an exposure to the students on characteristics of communication network and to develop an idea about the industrial networks. MODULE 1 (12 Hours) Traffic characterization and services - Circuit switched and packet switched networks- Virtual circuit switched networks - OSI Model - Protocol layers and services - The physical layer -Theoretical basis for data communication - Signaling and modulation – Multiplexing Transmission media - Physical interface and protocols. MODULE 2 (14 hours) The transport layer - Connectionless transport - UDP – TCP - Congestion control - Network layer series and routing - Internet protocol (IP) - Network layer addressing Hierarchical addresses -Address resolution – Services – Datagram - Virtual circuits Routing algorithm (Bellman Ford, Dijkstra) MODULE 3 (14 hours) Direct link Networks: Framing - Error detection - Reliable transmission - Multiple access protocols - Concept of LAN - Ethernet LAN – Ethernet frame structure - Ethernet (IEEE 802.3) - Token rings (IEEE 802.5 & FDDI) - Address resolution protocol - IEEE 802.11 LAN’s - Architecture and media access protocols – Hubs – Bridges – Switches – PPP – ATM - Wireless LAN. MODULE 4 (14 hours) Introduction to industrial networks – SCADA networks - Remote Terminal Unit (RTU), Intelligent Electronic Devices (IED) - Communication Network - SCADA Server SCADA/HMI Systems - Single unified standard architecture -IEC 61850 - SCADA Communication: various industrial communication technologies - Wired and wireless methods and fiber optics - Open standard communication protocols.

Text Books 1. Alberto, Leon, Garcia, Indra, and Wadjaja, Communication networks., Tata Mc Graw Hill. 2. James F Kurose.Keith W Ross, Computer networking A Top down Approach featured

internet, Pearson Education, 2003. 3. Karanjith S.Siyan, Inside TCP/IP., 3rd edition, Techmedia, 1998. 4. Stuart A. Boyer: SCADA-Supervisory Control and Data Acquisition, Instrument Society of

America Publications, USA, 1999. REFERENCES 1. Keshav, .An engineering approach to computer networking, Addison-Wesley, 1999 2. Douglas E comer, Inter networking with TCP/IP, Vol. 1, Prentice Hall India, 1999. 3. Andrew S. Tannebaum, Computer Networks. Fourth Edition, Prentice Hall, 2003. 4. Gordon Clarke, Deon Reynders: Practical Modern SCADA Protocols: DNP3, 60870.5 and

Related Systems, Newnes Publications, Oxford, UK, 2004. 5. Raimond Pigan, Mark Metter, Automating with PROFINET: Industrial Communication

Based on Industrial Ethernet, Public Publishing, 2008. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module.

Module 1

Module 2

Module 3

Question 1 : 20 marksQ Question 3 : 20 marksQ Question 5 : 20 marksQ Q Question 2 : 20 marks



Module 4 Question 7 : 20 marks Question 8 : 20 marks

OPTIMIZATION TECHNIQUES EIC11 105(C)

(Common for EPS10 105 (C), EPE10 105 (C), CEH10 105(C) & EIC11 105(C )

Credits: 4

Objective To apply different optimization techniques to both linear and non-linear systems. MODULE 1 (13Hours) Linear programming: Statement and classification of optimization problems overview of optimization techniques standard form of linear programming problems - Definitions and theorems - Simplex method - Revised simplex method - Duality and Dual simplex method Sensitivity analysis. MODULE 2 (14Hours) Unconstrained dimensional optimization techniques: Necessary and sufficient conditions Search methods(unrestricted Fibonacci and golden) - Interpolation methods(Quadratic, Cubic and direct root method) - Direct search methods - Random search - Pattern search and Rosen Brock’s hill climbing method - Descent methods - Steepest descent - Conjugate gradient Quasi Newton and DFE method. MODULE 3 (14 Hours) Constrained optimization techniques & dynamic programming: Necessary and sufficient conditions - Equality and inequality constraints - Kuhn-Tacker conditions -Gradient projection method - Cutting plane method - Penalty function method(Interior and exterior) Principle of optimality - Recurrence relation - Computation procedure - Continuous dynamic programming. MODULE 4 (13Hours) Recent developments in optimization techniques: Rosen brocks Rotating Coordinate Method Tabu search-Simulated Annealing - Genetic Algorithm -Particle Swarm Optimization – Ant colony Optimization - Bees Algorithm.

REFERENCES:

1. 2. 3. 4. 5. 6.

Rao S.S,'Optimisation:Theory and Application',Wiley Eastern Press,1978 Pierre, D.A. ‘Optimisation Theory with Applications’ John Wiley & Sons, 1969 Fox, R.L., ‘Optimisation method for Engineering Design’, Addition Welsey, 1971. Hadely,G., ‘Linear Programming’, Addition Wesley, 1962. Bazaara &Shetty, ‘Non-linear Programming’. D.E. Goldberg, Genetic Algorithm in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesly, 1989. 7. Marco Dorigo, Vittorio Miniezza and Alberto Colorni “Ant System:Optimization by a colony of Cooperation Agents” IEEE transaction on system man and Cybernetics-Part B:cybernetics, Volume 26, No 1, pp. 29-41,1996. 8. Shi, Y. Eberhart, R.C., “A Modified Particle Swarm Optimizer”, Proceedings of the IEEE International conference on Evolutionary Computation, Anchorage, AK, pp. 69-73, May 1998 Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









EIC11 105(D)

BIO MEDICAL INSTRUMENTATION Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective This course imparts knowledge about origin of bioelectric signals and deals with different systems in human body. Also the course highlights the computerized analysis of bio signals, different imaging technology and gives an idea about bioinformatics. MODULE 1 (14 Hours) Review of human physiology - Cardiovascular System – Respiratory System and Nervous System- Electro physiology- Bioelectric signals–origin –Resting and Action potentialsPropagation of Action Potential-Biomedical Recorders-ECG –EEG and EMG- Measurement of Heart Rate-Pulse Rate- Blood Pressure monitoring systems- Biomedical telemetry- Single channel systems- ECG telemetry system- Multichannel wireless telemetry system-Telemetry of ECG & Respiration- Patient Safety-Electric shock hazards-Effects of Electric current on the human body-Electrophysiology of ventricular Fibrillation-Electrical Safety analyzer. MODULE 2 (14 Hours) General Considerations for signal conditioners- Biomedical signal analysis techniques-FFT – Signal Processing techniques-Effects of artifacts on ECG recordings-Computerized analysis of EEG—Frequency/Amplitude analysis-Display format-Compressed Spectral Array(CSA)Frequency Response and Damping Adjustment of systolic and diastolic blood pressureCardiac Arrhythmias – Arrhythmia Monitor. ECG QRS Detection and analysis – Power spectrum of ECG, QRS detection algorithm, STsegment analyzer-ST Arrhythmia Algorithm-Data Compression and Processing of the ECG signal by AZTEC (Amplitude-Zone-Time-Epoch-Coding). MODULE 3 (13 Hours) Modern Imaging Systems- X– rays – Basis of diagnostic radiology- nature -production and visualization of X-rays- X- ray Machine- Computerized Tomography (CT) –basic principlesystem components- scanning ,processing, viewing and storage unit- Magnetic Resonance Imaging (MRI/NMR) System-principle- Imaging sequences-basic NMR componentsAdvantages and Limitations of MRI - Ultrasonic imaging – Ultrasonic waves – Basic pulse echo-A Scanner MODULE 4 (13 Hours) Concepts of Bio informatics- Genetic material-nucleotides-orientation-Base pairing-Central dogma-Gene structure and information content-Promotor sequences-genetic code-open reading frames-Introns and Exons – Protein Structure and functions-primary and secondaryData searches and Pairwise Alignments-Dynamic Programming-Needle Man and Wunsch

Algorithm-Global and Local Alignment-The Smith- Waterman algorithm-Data Base Searches- BLAST and FASTA- Multiple Sequence Alignments. Text Books 1. Khandpur R. S, “Handbook of Biomedical Instrumentation”, 2/e.TMH. 2. Leslie Cromwell, Fred J. Weibell and Erich A. Pfeiffer, Biomedical Instrumentation and

Measurements, Prentice Hall of India, New Delhi. 3. Dan .E. Krane, Michael L. Raymer ,Fundamental Concepts of Bioinformatics REFERENCES 1. Joseph J Carr & John M Brown, Introduction to Biomedical Equipment Technology, Pearson

Education. 2. T. K. Attuwood & D J Pary Smith, Introduction to Bioinformatics, Pearson Education,

2006. 3. Claverie & Notredame, Bioinformatics - A Beginners Guide, Wiley-Dreamtech India.


Module 2

Module 3

Module 4









EIC11 106(P)

INSTRUMENTATION LAB: Hours/week: 2

Credits: 2

Objective Familiarizing the students about measuring, processing, monitoring and analysing the data using special software such as MATLAB, LABVIEW etc. •

Experiments based on LabVIEW

- Virtual Instrumentation -

Data Acquisition Systems

•

Experiments based on signal processing -

Design and response of lowpass filters

-

Development and Implementation of FFT

Spectral analysis •

Zero crossing detection – Simulation

Data analysis experiments -

Develop database of different measured parameters

-

Data sorting obtained from measurements

-

Load line analysis of electrical circuits

-

Prediction of traffic flow rate from a measured data base

-

Find unknown data using Least squares method

-

Analysis of measured temperature data

-

Temperature dynamics

-

Experiments based on curve fitting – for analysis of measured data

•

•

•

•

•

Biomedical Instrumentation experiments -

Design of instrumentation to measure aortic pressure and also to plot the aortic pressure response

-

Modeling of bacteria growth

-

Response of a biomedical instrument

Level / Flow processing experiments -

Distance travelled by a piston in an internal combustion engine

-

Optimization of an irrigation channel

-

Hydraulic resistance curve / flow rate Vs volume curve

-

Hydraulic cylinder simulation

-

Dynamics of liquid in a tank – animation

Data monitoring experiments -

Earthquake resistant building design – measuring natural frequencies of oscillation

-

To monitor the flight of an instrumented rocket

-

Computation of time to reach a specified height

Measurements and Instrumentation -

Modeling of non-linear pendulum and to plot its response

-

Measurements of force and deflection in a cantilever beam

Robotics experiments -

Computation of arm angle resolution for three knot points – path of a robot’s hand

-

Positioning a robot arm.

Essential Software required – LabVIEW / MATLAB - SIMULINK Internal continuous assessment: 100 marks 

Regularity – 10%



Lab Practical & Record – 40%



Test – 50%

EIC11 107(P)

SEMINAR Hours/week: 2

Credits: 2

Objective This course is intended to assess the technical presentation capability of the students. Also to augment the skill of technical report writing.

Individual students are required to choose a topic of their interest related to Instrumentation and Control systems preferably from outside the M.Tech course syllabus and give a seminar on that topic for about 30 minutes. A committee consisting of at least three faculty members (preferably specialized in Instrumentation and Control Systems) shall assess the presentation of the seminar and award marks to the students. Each student shall submit two copies of a write up of his seminar topic. One copy shall be returned to the student after duly certifying it by the Chairman of the assessing committee and the other will be kept in the departmental library. Internal continuous assessment marks are awarded based on the relevance of the topic, presentation skill, quality of the report and interaction by other students.

Internal continuous assessment: 100 marks

=================================================== SEMESTER 2 ===================================================

EIC11 201

PROCESS CONTROL INSRUMENTATION Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective After this course the students are expected to get an idea about modeling of measuring systems, different types of processes, controllers. Advanced process control techniques are also discussed. MODULE 1 (14 Hours) Process Modeling - Introduction to Process control and process instrumentation Hierarchies in process control systems - Theoretical models - Transfer function - State space models - Time series models - Development of empirical models from process data Chemical reactor modeling . MODULE 2 (13 Hours) Introduction to Nonlinear process control -Model Reference Nonlinear Controller (MRNC)MRNC incorporating integral and derivative actions- MRNC for systems with relative order two or higher, Series cascade control of nonlinear systems, parallel cascade control of nonlinear systems, Control of nonlinear , non minimum phase systems with input multiplicities. Parallel cascade control of non-minimum phase systems with input multiplicities- control of nonlinear systems with significant actuator dynamics, Control of nonlinear systems with actuator delay, nonlinear control of multi variable systems with input or output constraints, problems. MODULE 3 (13 Hours) Introduction to controller characteristics-process characteristics, process equation, process load, process lag, self-regulation, control system parameters, error, variable range, control parameter range, control lag, dead time, cycling, controller modes, discontinuous controller modes, two-position modes, multiposition mode, floating control mode, continuous controller modes, composite controller modes. MODULE 4 (14 Hours) Advanced process control - Multi-loop and multivariable control – Process Interactions -

Singular value analysis-Tuning of multi loop PID control systems-Decoupling control. Text Books 1. Chidambaram M ,Nonlinear Process Control, New Age International (P) limited publishers

New Delhi 2. Johnson D Curtis, Instrumentation Technology, (7th Edition) Prentice Hall India, 2011. 3. Ernest O. Doebelin, Measurement system Application and Design, McGraw Hill

International Editions, 1990. 4. Seborg, D.E., T.F. Edgar, and D.A. Mellichamp, Process Dynamics and Control, John Wiley

2004.

REFERENCES 1. Sherman, R.E. (Ed), Analytical instrumentation, Instrument Society of America, 1996. 2. Shinskey, F.G., Process Conrol Systems: Applications, Design and Tuning (3rd Edition)

McGrawHill Book Co, 1988. 3. B. Wayne Bequette, Process control: modeling, design, and simulation Prentice Hall PTR,

2003. 4.

K. Krishnaswamy, Process Control, New Age International, 2007.


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EIC11 202

OPTIMAL AND ADAPTIVE CONTROL THEORY Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective The course aims to give an overview of the optimal control problem, adaptive control problem and different solution methods. MODULE 1(14 Hours) Open loop and closed loop form of optimal control- Performance measures for optimal control problems – General form of performance measure - Fundamental concepts and theorems of calculus of variations – Function and functional – Extremal of functionals of a single function - Euler - Lagrange equation and solution- Extremal of functionals of several independent functions – Various boundary condition equations Piecewise-smooth extremals - Extremal of functional with dependent functions . MODULE 2 (14 Hours) Necessary conditions for optimal control using Hamiltonian – Different boundary condition equations for solving the optimal control problem – Closed loop control for linear regulator problem - Linear tracking problem – Pontryagin’s minimum principle - State inequality constraints - Minimum time problems - Minimum control effort problems. MODULE 3 (13 Hours) Dynamic programming - Principle of optimality - Application to multi stage decision making – Application to optimal control problem – Need for interpolation - Recurrence relation of dynamic programming – Curse of dimensionality - Discrete linear regulator problem Hamilton-Jacobi-Bellman equation - Continuous linear regulator problem. MODULE 4 (13 Hours) Model Reference Adaptive systems (MRAS) - The need for MRAS - An over view of adaptive control systems - Mathematical description of MRAS - Design hypothesis Equivalent representation of MRAS.

Text Books 1. Donald E. Kirk, Optimal Control Theory, An introduction, Prentice Hall Inc., 2004. 2. Yoan D. Landu, Adaptive Control (Model Reference Approach), Marcel Dekker,1981. 3. A.P.Sage, Optimum Systems Control, Prentice Hall.

REFERENCES 1. K.K.D.Young, Design of Variable Structure Model Following Control Systems., IEEE Transactions on Automatic Control, Vol. 23, pp 1079-1085, 1978. 2. A.S.I. Zinobar, O.M.E. EI-Ghezawi and S.A. Billings, Multivariable variable structure

adaptive model following control systems. . Proc. IEE., Vol. 129, Pt.D., No.1, pp 6-12, 1982. 3. HSU and Meyer, Modern Control, Principles and Applications, Mc Graw Hill. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









NONLINEAR SYSTEMS EIC11 203

Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective: Giving an exposure to the students on characteristics, stability of nonlinear systems and addresses the analysis of feedback systems. MODULE 1 (12 Hours) Introduction and classical techniques: Characteristics of nonlinear systems - Classification of equilibrium points - Limit cycles - Analysis of systems with piecewise constant inputs using phase plane analysis - Perturbation techniques- Periodic orbits - Stability of periodic solutions - Singular perturbation model - Slow and fast manifolds. MODULE 2 (15 Hours) Lyapunov Stabilty and Design: Stability of Nonlinear Systems - Lyapunov stability - Local stability - Local linearization and stability in the small - Direct method of Lyapunov Generation of Lyapunov function for linear and nonlinear systems - Variable gradient method - Centre manifold theorem - Region of attraction - Invariance theorems - Input output stability - L stability - L stability of state models - L2 stability. MODULE 3 (15 Hours) Lyapunov based design - Lyapunonv redesign - Robust stabilization - Nonlinear Damping - back stepping - Sliding mode control - Adaptive control - Model controller - Model reference adaptive control harmonic linearization and describing function method- Harmonic linearization - Filter hypothesis - Describing function of standard nonlinearities- Study of limit cycles (amplitude and frequency) using SIDF- Dual input describing function - Study of sub-harmonic oscillations - Correction on describing functions. MODULE 4 (12 Hours) Feedback Control and Feedback Stabilization - Analysis of feedback systems - Circle criterion Popov criterion - Simultaneous Lyapunov functions - Feedback linearization - Stabilization Regulation via integral control - Gain scheduling - Input state linearization - Input output linearization - State feedback control - Stabilization - Integral control.

Text Books 1. Hassan K Khalil, “Nonlinear Systems”, Prentice - Hall International (UK) 1996. 2. Slotine & W.LI, “Applied Nonlinear Control Practice”, Hall, Engloe wood New Jersey, 1991. 3. A Isidori, “Nonlinear Control systems”, Springer Verlag, New York, 1995.

4. S. Wiggins, “Introduction to Applied Nonlinear Dynamical Systems and chaos”, Springer Verlag New York, 1990.

REFERENCES 1. H. Nijmeijer & A.J. Van Der schaft, “Nonlinear Dynamic control Systems”, Springer Verlag Berlin 1990. 2. Arther E Gelb & Vender Velde, “Multiple input Describing function and Nonlinear System

Design”, MC Graw Hill 1968. 3. Jean Levine, Analysis and Control of Nonlinear system, Springer 2009


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ELECTIVE II

EIC11 204(A)

SYSTEM IDENTIFICATION AND PARAMETER ESTIMATION Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective Understanding and analysis of systems and models-model estimation methods-parameter estimation- experiment design. MODULE 1 (13 Hours) Models of linear time invariant systems- Linear models and sets of linear models- State space models – Distributed parameter models – Model sets structures and identifiability – Identifiability of some model structures – Models of time varying and nonlinear systemsLinear time varying models- Nonlinear state space modelsNonlinear black box models . MODULE 2 (13 Hours) Nonparametric time and frequency domain methods- Transient response analysis – Frequency response analysis- Fourier analysis- Spectral analysis – Estimating disturbance spectrum – Parameter estimation methods – Guiding principles – Minimizing prediction errors – Linear regressions and least squares method- Statistical framework for parameter estimation and maximum likelihood estimation. MODULE 3 (15 hours) Conditions of data set – Prediction error approach – Consistency and identifiability – Linear time invariant models - Correlation methods - Prediction error approach – Basic theorem – Expressions for asymptotic variance – Frequency domain expressions for asymptotic variance – Correlation approach – Use and relevance - Computing the estimate- Linear regression and least squares – Computing gradients – Two stage and multi stage methods local solutions and initial values – Subspace methods - Recursive method Recursive forms of least squares - Prediction error and pseudo linear regression methods. MODULE 4 (13 Hours) General Considerations – Informative experiments – Input design and open loop experiments – Closed loop identification –Approaches –Optimal experiment design – Choice of sampling interval – Preprocessing of data – Drifts de-trending – Outliers and missing data – Selecting segments of data and merging experiments.

Text Books 1. Lennart Ljung, System Identification Theory for the User, Prentice Hall Inc, 1999 2. Sinha N K , Kuztsa, System Identification And Modelling of Systems, 1983

REFERENCES 1. Harold W Sorensen, Parameter Estimation: Marcel Dekker Inc, New York. 1980 Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

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EIC11 204(B)

ROBOTICS SYSTEM AND ITS APPLICATIONS Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective Impart students with the fundamental of Robotics-mechanics of robot motion-dynamics of robots- sensing and vision system of robots. MODULE 1 (13 Hours) Robot definition - Robot classification - Robotic system components – Notations - Position definitions - Coordinate frames - Different orientation descriptions - Free vectorsTranslations- Rotations and relative motion - Homogeneous transformations. MODULE 2 (13 Hours) Link coordinate frames- Denavit-Hartenberg convention - Joint and end-effector Cartesian space-Forward kinematics transformations of position- Inverse kinematics of position-Translational and rotational velocities -Velocity transformationsManipulator jacobian -Forward and inverse kinematics of velocity-Singularities of robot motion-Static forces-Transformations of velocities and static forces -Joint and end effect or force/torque transformations MODULE 3 (15 Hours) Manipulator Dynamics- Transformations of acceleration- Trajectory planning- ControlLagrangian formulation- Model properties - Newton-Euler equations of motionDerivation for two link planar robot arm as example- Joint space-based motion planning - Cartesian space-based path planning-Independent joint control - Feedforward control - Inverse dynamics control. MODULE 4 (13 Hours) Robot Sensing and Vision Systems – Sensors - Force and torque sensors - Low level vision High level vision- Robot Programming languages-Introduction to Intelligent Robots-Robots in manufacturing automation.

Text Books 1. Fu, K.S., R.C. Gonzalez, C.S.G. Lee, Robotics: Control, Sensing, Vision & Intelligence,

McGraw-Hill, 1987. 2. Groover, Mikell P., Automation, Production Systems & Computer Integrated manufacturing,

Prentice hall India, 1996. 3. Gray J.O., D.G. Caldwell(Ed), Advanced Robotics & Intelligent machines, The Institution of

Electrical

Engineers, UK, 1996.

4. Craig, John J., Introduction to Robotics: Mechanics & Control, 2nd Edition, Pearson

Education, 1989. REFERENCES 1. Groover Mikell P., M. Weiss, R.N. Nagel, N.G. Odrey, Industrial Robotics, McGrawHill,

1986. 2. Janakiraman, P.A., Robotics & Image Processing, Tata McGrawHill, 1995. 3. Sciavicco, L., B. Siciliano, Modelling & Control of Robot Manipulators, 2nd Edition,

Springer Verlag, 2000. 4. Robin R. Murphy, “An introduction to AI Robotics”, MIT Press, 2008. 5. Oliver Brock, Jeff Trinkle and Fabio Ramos, Robotics-Science and Systems, Vol. IV, MIT

Press, 2009. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module.

Module 1

Module 2

Module 3

Module 4

Q Question 1 : 20 marks Question 3 : 20 marks

Question 5 : 20 marks Question 7 : 20 marks



MECHATRONICS EIC11 204(C)


Credits: 4

Objective Providing knowledge on the fundamentals of mechatronics, numerical control machine tools, part programming and robotics. MODULE 1 (14 Hours) Introduction to Mechatronics- Mechatronics in manufacturing- Mechatronics in products-Scope of Mechatronics. Fundamentals of numerical control-advantages of NC systems- Classification of NC systemsPoint to point and contouring systems- NC and CNC – Incremental and absolute systems-Open loop and closed loop systems-features of NC machine tools- Fundamentals of machining-Design consideration of NC machine tools-Methods of improving machine accuracy and productivity- Special tool holders. MODULE 2 (13 Hours) System devices: System drives-hydraulic systems, DC motors, stepping motors, AC motorsFeedback devices-Encoders, pulse digitizers, resolvers, Inductosyn, tachometers.Counting devices-Flip Flops, counters, decoders, digital to analog converters. Interpolation- linear interpolator-circular interpolators, CNC software interpolator-Flow of data in NC machines. MODULE 3 (13 Hours) NC Part programming: Manual Programming-Concepts-tape formats- tab sequential- fixed block word address and variable block formats- Part Programming examples-Point to point programming and simple contour programming- Computer aided programming- Concepts – Post processor programming languages- APT programming-Part programming examples. MODULE 4 (14 Hours) Industrial Robotics: Basic concepts- Robotics and automation- Specification of RobotsResolution, Repeatability and accuracy of manipulator- Classification of Robots- Industrial application- Robot drives- Characteristics of end of arm tooling- Sensors-Tactile, proximity

and range sensors- contact and non-contact sensors- velocity sensors- touch and slip sensorsForce and torque sensors- Programming- Lead through programming- Textual programmingProgramming languages - On line and offline programming- Intelligent Robots.

Text Books 1. Introduction to Mechatronics and measurement systems, David Alciatore, Michael

B.Histand, Amazone Publishers, 2011. 2. Yoram Koren and Ben Yuri, Numerical Control of machine tools, Khanna Publishers. 3. Yoram Koren, Computer Control of Manufacturing Systems, McGrawHill. REFERENCES 1. Michel P. Groover, Industrial Robots-Technology, Programming and Applications, Mc Graw

Hill. 2. Fu K.S, Gonzales et al, Robotics-Control, sensing, vision and intelligence, McGrawHill. 3. Mechatronics: A multidisciplinary approach (4th edition), W.Bolton, Prentice Hall of India,

2009. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be a minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

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EIC11 204(D)

SWITCHED MODE POWER CONVERTERS (Common for EPE10 202 &EIC11 204(D)) Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective To acquaint the students with working, analysis and modelling of different types of converters. MODULE 1 (14 Hours) Review of Buck, Boost, Buck-Boost topologies - Basic operation – Waveforms - Modes of operation - Voltage mode control principles. Push-pull and forward converter - Basic operation – Waveforms - Modes of operation Transformer design - Voltage mode control principles. Half and full Bridge Converters - Basic operation – Waveforms - Modes of operation -Voltage mode control principles. Fly back converter - Basic operation – Waveforms - Modes of operation - Voltage mode control principles. MODULE 2 (14 Hours) Voltage Mode Control of SMPS - Loop gain and stability considerations - Shaping the error amplifier gain versus frequency characteristics - Error amplifier transfer function – Tran conductance error amplifiers. Current mode control of SMPS – Current mode control advantages - Current mode versus voltage mode control of SMPS – Current mode deficiencies - Slope compensation. MODULE 3 (13 Hours) Modeling of SMPS - Basic AC modeling approach – Modeling of non ideal fly back converter State space averaging – Basic state space averaged model – State space averaging of non ideal buck boost converter - Circuit averaging and averaged switch modeling – Modeling of pulse width modulator. MODULE 4 (13 Hours) Introduction to resonant converters – Classification of resonant converters – Basic resonant circuit concepts – Load resonant converters – Resonant switch converters – Zero voltage switching - Clamped voltage topologies – Resonant DC Link inverters with zero voltage switching – High frequency link integral half cycle converter.

REFERENCES 1 2 3 4

Ned Mohan, Power Electronics:Converters,Applications And Design , John Wiley & Sons Abraham I Pressman , Switching Power Supply Design , McGraw-Hill Publishing Company R. W. Erickson , Fundamental of Power Electronics , Chapman & Hall Publishers William Shepherd, Li Zhang, Power Converter Circuits, CRC Taylor Francis


Module 2

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ELECTIVE III

EIC11 205(A)

EMBEDDED CONTROLLERS IN REAL TIME SYSTEMS (Common for EPE10 205(A) &EIC11 205(A)) Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective This course introduces embedded controllers, its architecture, applications and real time systems. MODULE 1 (14 Hours) 8051 Microcontroller - Assembly language programming and C programming- Instruction set – Interrupts - Timers – Memory- I/O ports – Serial communication - Interfacing –Key board LED display - External memory – ADC – DAC – LCD - RTC – Typical applications- DC motor speed control - speed measurement - Temperature control - Stepper motor control PID control. MODULE 2 (13 Hours) Real-time Systems - Introduction to real time systems- Interrupt driven systems-Context switching-Scheduling-round robin-Preemptive-rate monotonic-Foreground and background systems- Inter task communication- Buffering data-Mailboxes-Critical regions-SemaphoresDeadlock-Process stack management- Dynamic allocation-Response time calculationInterrupt latency. MODULE 3 (14 Hours) PIC Processors - RISC concepts - PIC processors- Overview-16F877 - Architecture – Elementary assembly language programming- Interrupts – Timers – Memory – I/O ports – SPI – I2C bus - A/D converter - USART- PWM – Interfacing - Introduction to FPGA devices. MODULE 4 (13 Hours) DSP Architecture - Introduction to DSP architecture- Computational building blocks - Address generation unit- Program control and sequencing- Speed issues- Harvard architecture – Parallelism – Pipelining - TMS 320F2407- Architecture- Addressing modes- I/O functionality – Interrupts – ADC – PWM - Event managers- Elementary assembly language programming- Typical applications-Buck boost converter- Stepper motor control- Software and hardware development tools.

REFERENCES 1. Mazidi & Mazidi, Embedded System Design using 8051 Microcontroller, Pearson 2. Ajay V DeshMukh, Microcontrollers -Theory and Applications, TMH 3. Phillip A Laplante, Real Time Systems Design and Analysis, PHI 4. Daniel W Lewis, Fundamentals of Embedded Software, Pearson 5. Sen M Kuo, Woon Seng Gan, Digital Signal Processors-Architecture, Implementation and Applications, Pearson 6. H A Toliyat, S Campbell, DSP Based Electro Mechanical Motion Control, CRC Press, 7. Avtar Singh, S Srinivasan, Digital Signal Processing, Thomson Brooks 8. Phil Lapsley, Bler, Sholam, E A Lee, DSP Processor Fundamentals, IEEE Press 9. Wayne Wolf, FPGA Based System Design, Pearson 10. Scott Hauck, The Roles of FPGAs in Reprogrammable Systems, Proceedings of the IEEE, Vol. 86, No. 4, pp. 615-639, April, 1998.


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DSP AND ITS APPLICATIONS EIC11 205(B)

(Common for EPE10 205(B) &EIC11 205(B)) Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective: To study the various methods for the analysis of digital systems, to design a digital filter for the given specifications and to study the architecture and applications of digital signal processors. MODULE 1 (13 Hours) Multirate digital signal processing[MSP] – Sampling rate conversion – Decimation-Interpolation – Sampling rate conversion – Filter design and implementation for sampling rate alternation – Direct form FIR digital filter structure, polyphase filter structure, time-varying digital filter structure – Sampling rate conversion by an arbitrary factor -Multistage implementation of sampling rate conversion- applications of MSP –design of phase shifters-interfacing of digital systems with different sampling rate- implementation of narrow band lowpass filters and digital filter banks. MODULE 2 (15 Hours) Linear prediction and optimum linear filters-forward and backward linear prediction-optimum reflection coefficients-solutions of the normal equations- Levinson-Durbin Algorithm-schur Algorithm-properties- Auto Regressive(AR) and Auto Regressive Moving Average(ARMA) lattice-ladder filters-Wiener Filters for filtering and prediction-FIR and IIR Wiener filtersNoncausal Wiener Filters-ARMA Model for power spectrum analysis. MODULE 3 (15 Hours) Finite word length effects – Fixed point and floating point formats – Quantization errors – Limit cycle oscillations - Digital signal processors – Selection of digital signal processors – Von Neumann & Harvard architecture – Multiply Accumulate Unit (MAC) - Architecture of DSP processor - Fixed point & floating point (block diagram approach) - Applications of digital signal processors. MODULE 4 (11 Hours) Applications of DSP – Speech processing – Speech analysis, synthesis and compression – Radar signal processing – Image processing – image formation, recording, compression, restoration, enhancement – echo cancellation. Execution of simple programs using digital signal processor – Solution of specific problems in digital signal processing using MATLAB programs.

REFERENCES 1. Oppenheim A. V. & Schafer R. W., Discrete- time Signal Processing, Pearson Education 2. Proakis J. G. & Manolakis D. G., Digital Signal Processing, Principles, algorithms & applications, Pearson Education. 3. Li Tan, Digital Signal Processors- Architectures, Implementations and applications, Academic Press (Elsevier) 4. Sen M. Kuo & Woon-Seng S. Gan, Digital Signal Processors- Architectures, Implementations and Applications, Pearson Education. 5. A. V. Oppenheim & R. W. Schafer, Digital Signal Processing, Prentice- Hall of India 6. Sanjit K. Mitra, Digital Signal Processing- A computer based approach, Tata Mc Graw Hill 7. Emmanuel C. Ifeachor, Barrie W. Jervis, Digital Signal Processing- A practical approach, Pearson education. 8. Ludeman, Fundamentals of Digital Signal Processing, Wiley India Pvt. Ltd.


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EIC11 205(C)

VARIABLE STRUCTURE CONTROL SYSTEMS Hours/week: Lecture-3 and Tutorial-1

Credits: 4

Objective This course enable the students to learn, the analysis and design of variable structure control systems based on sliding mode control. MODULE 1 (12 Hours) Variable Structure Systems (VSS)-Introduction- Synthesis of stable systems from unstable structures- VSS for improving speed of response -VSS for stability. MODULE 2 (14 Hours) Variable structure systems with sliding mode- Sliding mode motion- Existence conditionEquivalent control for sliding mode motion- Sliding mode motion on switching lineInvariance conditions- Design of sliding mode controllers using feedback linearization for non-linear systems. MODULE 3 (14 Hours) Sliding mode motion on switching surface- Design of stable switching surfaces- Design of sliding mode controller for higher order systems- Sliding mode controller design for a robotic manipulator- Chattering- Chattering reduction techniques. MODULE 4 (14 Hours) Variable Structure Model Following Control (VSMFC) Systems- Conditions for perfect model following- Sliding mode equivalent control- Sliding mode discontinuous control- Design of VSMFC for second order system. Text Books 1. UItkis - Control Systems of Variable Structure., New York,Wiley, 1976. 2. A S I Zinober (Edited by) - Deterministic Control of Uncertain Systems, British Library,

1990. 3. Cataloguing in Publication Data, Peter Peregrinus Ltd.1990.

REFERENCES 1. B. Drazenovic - The invariance conditions in variable structure systems, Automatica., Vol.

5, pp. 287-295, 1969. 2. K.K.D.Young - Design of Variable Structure Model Following Control Systems, IEEE

Transactions on Automatic Control, Vol. 23, pp 1079-1085, 1978. 3. A.S.I. Zinobar, O.M.E. EI-Ghezawi and S.A. Billings . .Multivariable variable structure

adaptive model following control systems, Proc. IEE., Vol. 129, No.1, pp 6-12, 1982. 4. J.J. Slotine and S.S. Sastry, Tracking control of non-linear systems using sliding

surfaces with application to robot manipulators, International Journal of Control, 1983, Vol. 38, No.2, pp. 465-492. 5. IEEE Transactions on Automatic Control, April 1977, pp. 212-222.

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module 1

Module 2

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EIC11 205(D)

DATA ACQUISITION AND SIGNAL CONDITIONING

Credits: 4

Hours/week: Lecture-3 and Tutorial-1 Objective After completing this course students have an idea about different types of transducers and signal conditioning-filtering and sampling-signal conversion and transmission-digital signal transmission and interfacing. MODULE 1 (14 Hours) Data Acquisition Systems (DAS)- Introduction- Objectives of DAS- Block diagram description of DAS- General configurations - Single and multichannel DAS-Transducers for the measurement of motion, force, pressure, flow, level, dc and ac voltages and currents (CTs, PTs for supply frequency as well as high frequency, Hall Effect Current Sensors, High Voltage Sensors, Optosensors, Rogowski Coil, Ampflex Sensors etc.)- Signal Conditioning- Requirements - Instrumentation amplifiersBasic characteristics- Chopped and Modulated DC Amplifiers-Isolation amplifiers. MODULE 2 (14 Hours) Review of Nyquist Sampling Theorem-Aliasing - Need for Prefiltering-First and second order filters - Classification and types of filters - Low -pass, High-pass, Band-pass and Band-rejection and All Pass- Butterworth- Bessel- Chebyshev and Elliptic filters Opamp RC Circuits for Second Order Sections-Design of Higher Order Filters using second order sections using Butterworth Approximation-Narrow Bandpass and Notch Filters and their application in DAS, Sample and Hold Amplifiers. MODULE 3 (14 Hours) Types of signal conditioning (SC)-Amplification-Isolation-Filtering-Linearization-Classes of Signal Conditioning-Plug –in board SC- Direct connect modular-two –wire transmittersDistributed I/O – digital transmitters-Field wiring and signal measurement-grounded signal sources-Floating signal sources- single ended measurement- differential measurement-signal circuit isolation- measuring grounded/ungrounded signal sources- Noise and interferenceSources and types of noise-Noise Minimization-Shielded and twisted-pair cable-Coaxial cables. MODULE 4 (12 Hours) Data Processing and Analysis-Numerical Representation- Data Analysis Techniques- Statistical Analysis Techniques-Curve Fitting- Waveform Processing-Convolution/deconvolution Algorithm and Window Function – The Hilbert Transform-Wavelet Analysis-Commercial Data Acquisition Products-Intel 8255A Programmable peripheral interface (PPI)- 8254 Programmable Interval Timer(PIT)- AMD AM9513 A System Timing Controller -Introduction to Data Acquisition Soft wares – LABTECH-LABVIEW- PC- Based Data

Acquisition Applications-Ultrasonic Measurement System-Electrocardiogram Measurement System. Text Books 1. John Park, Steve Mackay, Data Acquisition for Instrumentation and Control Systems, British

Library Cataloguing in Publication Data, 2003.John Uffrenbeck, The 80x86 Family, Design, Programming, And Interfacing, Pearson Education , Asia,2002. 2. Howard Austerlitz, Data Acquisition Techniques Using PCs, Academic Press, 2003. 3. Ernest O Doeblin., Measurement Systems: Application and Design, McGraw Hill (Int.

edition) 1990.

REFERENCES 1. George C.Barney, Intelligent Instrumentation, Prentice Hall of India Pvt Ltd., New Delhi,

1988. 2. Ibrahim, K.E., Instruments and Automatic Test Equipment, Longman Scientific & Technical

Group Ltd., UK, 1988. 3. Bates Paul, Practical digital and Data Communications with LSI, Prentice Hall of India,

1987. 4. Oliver Cage, Electronic Measurements and Instrumentation, McGraw-Hill, (Int. edition)

1975. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

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EIC11 206(P)

CONTROL SYSTEMS LAB Hours/week: 2

Credits: 2

Objective The course helps to familiarize modeling, control and simulation experiments on control systems. •

Experiments based on soft computing -

•

Fuzzy Logic – Neural Networks

Stability analysis of Linear systems

-Time domain and Frequency domain analysis •

Pole placement using state feed back

•

State space representation and analysis

•

Numerical methods for system modeling and simulation

•

Closed loop response of different (types/ order) control systems for different types of input signals with variable parameters.

•

Adaptive step size numerical algorithm for system modeling and simulation.

•

Design of PI, PD and PID controllers -

Tuning of PID controller

-

Control System design using compensators (Lag, Lead & Lag – Lead)

•

Controller design using SISO tool and state space design

•

Experiments based on PLC

•

Experiments based on embedded programming

•

-

Open loop / closed loop simulation

-

Controller design ,sampling period and performance specification

Design and simulation of regulator systems -

With observers – quadratic optimal regulator problems

-

Solution of Riccati equation

•

Design of observers

•

Design of controllers

•

Servo systems with transportations lag – Modeling & simulation

•

Design and stability analysis of inverted pendulum

Essential Software required – MATLAB- SIMULINK & TOOL BOXES

Internal continuous assessment: 100 marks •

Regularity – 10%

•

Lab Practical & Record – 40%

•

Test – 50%

EIC11 207(P)

SEMINAR Hours/week: 2

Credits: 2

Objective This course is intended to assess the technical presentation capability of the students. Also to augment the skill of technical report writing.

Individual students are required to choose a topic of their interest from instrumentation and control related topics preferably from outside the M.Tech syllabus and give a seminar on that topic about 45 minutes. A committee consisting of at least three faculty members (preferably specialized in Instrumentation and Control) shall assess the presentation of the seminar and award marks to the students based on merits of topic of presentation. Each student shall submit two copies of a write up of his seminar topic. One copy shall be returned to the student after duly certifying it by the chairman of the assessing committee and the other will be kept in the departmental library. Internal continuous assessment marks are awarded based on the relevance of the topic, presentation skill, quality of the report and participation.

Internal continuous assessment: 100 marks

================================================== SEMESTER 3 =================================================== ELECTIVE IV RESEARCH METHODOLOGY EIC11 301(A)

(Common for EPS10 301(B), EPE10 301(A), CEE10 301(A), CEH10 301(A), MIT10 301(A), PMS10 301(A),EIC11 301(A)

Credits: 4

Hours/week: Lecture-3 and Tutorial-1 Objective To impart knowledge about various methodologies followed in engineering research, formulation of research problems and to apply the same in project work. To make students aware of the problems faced by Indian researchers. MODULE 1 (13Hours) Research Concepts – Concepts – Meaning – Objectives – Motivation- Types of research – Descriptive research – Conceptual research – Theoretical research – Applied research – Experimental research- Research process – Criteria for good research – Problems encountered by Indian researchers. MODULE 2 (13Hours) Formulation of research task – Literature review – Importance & methods – Sources – Quantification of cause effect relations – Discussions – Field study – Critical analysis of generated facts – Hypothetical proposals for future development and testing- selection of research task. MODULE 3 (14Hours) Mathematical modeling and simulation – Concepts of modeling – Classification of mathematical models – Modeling with – Ordinary differential equations – Difference equations – Partial differential equations – Graphs – Simulation – Process of formulation of model based on simulation. MODULE 4 (14Hours)

Interpretation and report writing – Techniques of interpretation – Precautions in interpretation – Significance of report writing – Different steps in report writing – Layout of research report – Mechanics of writing research report – Layout and format – Style of writing – Typing – References – Tables – Figures – Conclusion – Appendices. REFERENCES 1. J.W Bames, Statistical Analysis for Engineers and Scientists, McGraw Hill, N.York 2. Schank Fr., Theories of Engineering Experiments, Tata Mc Graw Hill Publication. 3. C. R. Kothari, Research Methodology, New Age Publishers. 4. Willktnsion K. L, Bhandarkar P. L, Formulation of Hypothesis, Himalaya Publication 5. Krishnaswami, “Management research methodology – Integration of methods & Techniques”, Pearson Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









ROBUST CONTROL EIC11 301(B)


Credits: 4

Objective At the end of the course the students will have a clear idea about robust control. MODULE 1 (13 Hours) Introduction- Definition of robust control-Classification of robust control-Elements of robust control theory-Modeling-Design objectives and specifications-Additive and multiplicative perturbations-Plant-controller configuration-Shaping the loop gain. MODULE 2 (13 Hours) Modeling of Parametric Uncertain Systems- Modeling systems with parameter uncertaintyGeneral concepts-Generalization of several control concepts to parametric uncertain systemsStability-Controllability and observability-Robust stability analysis- Pole spread and gridding-Principle of argument and Rouche’s theorem-Boundary crossing theorem-StabilityGamma stability boundaries-Gamma stability radius-Schur stability test-Hurwitz stability test. MODULE 3 (14 Hours) Parameterization of stabilizing controllers- Well-posedness internal stability parameterization approach-Coprime factorization of plant- Coprime factorization of controller-State space realization-Strong stabilization sensitivity minimization and robust stabilization- Sensitivity minimization-Problem formulation-Model matching problem-Trade-offs for multivariable plants-Design limitations due to right half plane zeros-Plant uncertainty and robustnessrobust stability-Robustness under perturbations-Small gain theorem- Stability margins- 1-2 stability, 1-infinity and 1-1 stability margins. MODULE 4 (14 Hours) Robust stabilizing controllers-Stabilizing P controllers-Stabilizing PI controllers- Stabilizing PID controllers H2 and H optimization -LQG methodology-Separation principle-Algebraic Riccati Equation-Solution of LQG problem-Robustness properties of the LQG solution- H optimization techniques-State space formulation H control-H filter-Generalized H regulator. Basic concepts of H∞ and µ – Synthesis controllers.

Text Books 1. Richard.C.Dorf and R.T Bishop, Modern Control System, P.H.I. 2. S P Bhattacharya, L H Keel, H Chapellat, Robust Control: The Parametric Approach, Prentice-Hall, 1995 3. P C Chandrasekharan, Robust Control of Linear Dynamical Systems, Academic Press, 1996.

REFERENCES 1. Michael Green, David J N Limebeer, Linear Robust Control , Prentice-Hall, 1995 2. Kemin Zhou, Essentials of Robust Control, Prentice-Hall, 1998 Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









ADVANCED TOPICS IN CONTROL SYSTEMS EIC11 301(C)

Credits: 4


Objective Provide a strong foundation to understand neuro –fuzzy systems and nonlinear and give an overview of variable structure systems.

systems

MODULE 1 (15 Hours) Fuzzy Models- Mamdani and Takagi Sugeno Models- Construction of fuzzy models- Neural networks- Adaptive networks- Supervised learning - Adaptive neuro-fuzzy inference systems- ANFIS architecture- ANFIS as a universal approximator - Simulation examples. MODULE 2 (14 Hours) Representations of MIMO systems- Equivalent transformations- Canonical formsSolution of state equations- System response- Controllability and pole allocationObservability and state estimator- System characterization by transfer matrix- Non interactive and model matching control design. MODULE 3 (14 Hours) Non linear systems- Chaos- Fractals- Dimensions- Attractors- Lorenz attractor- Mandelbrot setBifurcations- Synthesis of some chaotic systems using neural network-Some control applications- Fractals and chaos in medicine and physiology. Introduction - Trajectory aspects-Inertial and optical sensors-Inertial guidance for cruise vehicles- Guidance and control of rocket vehicles- Guidance and control of mobileLaunched ballistic missiles. MODULE 4 (11 Hours) Introduction, Variable Structure Systems (VSS)- VSS for fast response- VSS for stabilityVSS with sliding mode- Sliding mode motion- Existence Condition - Second order control problem- Sliding mode motion on switching line- Sliding mode motion on switching surface- Design of stable switching surface- Invariance Conditions in VSS- Variable structure model following control (VSMFC).

Text Books 1. Jang J SR ,Sun C T, Mizutani E : Neuro-fuzzy and Soft Computing, MATLAB

curriculum Series, Prentice Hall International (1997). 2. Chen C.T., Linear System Theory and Design, Holt Reinhart and Winston Inc., 1984.

3. Leondis C.T., Guidance and Control of Aerospace Vehicles, Mc Graw Hill Book Company Inc, New York. 4. Apte Y.S., Linear Multivariable Control Theory, Tata McGraw Hill Publishing Co. Ltd.,

1994. 5. Stephen Wiggins, Introduction to Applied Nonlinear Dynamical Systems and Chaos,

Springer Publishers. REFERENCES 1. Robert Babuska :Fuzzy Modelling and Control - International Series in Intelligent

Technologies, Kluwer Academic Publications (1998). 2. Wolovich W.A., Linear Multivariable Systems, Springer- Verlag , New york- Heidelberg-

Berlin, 1974. 3. U. Itkis, Control Systems of Variable Structure, New York, Wiley. 4. Timothy J Ross, Fuzzy logic with Engineering Applications, McGraw Hill, New York. 5.

S. Neil Rasband, Chaotic Dynamics of Nonlinear systems, John Wiley and Sons.

6. Karl Heinz Becker, Michael Dorfler: Dynamical Systems and Fractals, University Press,

Cambridge. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









BIO-SENSORS EIC11 301(D)


Credits: 4

Objective At the end of the course the students will be able to define the fundamental components of any biosensors and its application in bio-instrumentation. MODULE 1 (12 Hours) Introduction – Microbial sensors for process control – Acetic acid sensor – Alcohol sensor – Glutamic acid sensor – Carbon dioxide sensor – Microbial sensors for environmental control – Ammonia sensor – Nitrogen dioxide sensor – BOD sensor. Artificially Coupled Reactions with Immobilized Enzymes: Types of biosensors – First generation biosensors – Molecular recognition by higher integrated bio catalytic systems in biosensors –Artificially coupled enzymes reactions in biosensors – Lactate monoxygenase based sequence and amplification sensors – Substrate recycling by Lactate oxidase and Lactate – Dehydrogenase –Glutamate Oxidase based sensors – Glucose Oxidase Glucose Dehydrogenase sensor – Anti interference principle. MODULE 2 (14 Hours) Parallel Information Processing in Biological Systems-From Photo transduction to Neural Networks: Introduction – Photo transduction – Pigment kinetics – Transmitter dynamics – Coupling to the membrane equation – Predictions – Temporal discrimination – Asynchronous shunting networks. Non-invasive Measurement of Intracranial Pressure: Introduction – Intracranial pressure – Techniques for non-invasive measurement of intracranial pressure. Chemistry and Potential Methods for in Vivo Glucose Sensing: Introduction – Structure and properties of glucose – Potential methods for in vivo glucose sensing – Enzyme based electrochemical approach – Enzyme based field effect transistor approach – Enzyme based thermoelectric approach – electrochemical approach – Optical approach. MODULE 3 (14 Hours) Invasive and Non-invasive Blood Gas Monitoring: Introduction – Blood gas transport – Electrochemistry of pO2 and pCO2 measurement – Principle of optical oximetry – Invasive intravascular blood gas monitoring – Non-invasive blood gas monitoring- Bio catalytic Membrane Electrodes- Introduction – Enzymes and electro

analytical systems – Types of indicator transducers – Preparation of electrode enzyme layer – Configuration of bio catalytic electrodes– Analytical usefulness – Some practical applications- Modelling and identification of Lung parameters- Introduction – Model design – Parameter estimation. MODULE 4 (14 Hours) Radiation Pressure, Radiation Force, and Particle Banding in an Ultrasonic Field: Introduction – Radiation pressure – Radiation force – Banding of particles in an ultrasonic field- Noncontact temperature measurement in medicine- Thermal regulation of the human body – Medical thermometry – Thermal radiation – Thermal imaging – Far infrared sensors – Temperature sensors – Optical system – Thermopile thermometer – Pyroelectric thermometer. Text Books 1. Jonathan M.Cooper & Anthony E.G. Cass, Biosensors, Oxford University Press. 2. F. Ligler & C. Rowe Taitt, Optical Biosensors. Present and Future, Elsevier. 3. Donald L. Wise, Bioinstrumentation and Biosensors, CRC Press. REFERENCES 1. George K.Knopf & Amarjeet S.Bassi, Smart Biosensor Technology, CRC Press. 2. Willner, Itamar & Eugenii, Bioelectronic: From Theory to Applications, Wiley. 3. Brian Eggins, Chemical Sensors and Biosensors, John Willey & Sons. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









ELECTIVE V

EIC11 302(A)

VLSI ARCHITECTURE AND DESIGN METHODOLOGIES (Common for EPE10 302(A),EIC11 302(A))

Credits: 4

Hours/week: Lecture-3 and Tutorial-1 Objective Providing an overview of VLSI System Design and fabrication MODULE 1 (14 Hours) Overview of VLSI Design Methodology: VLSI design process - Architectural design -Logical design -Physical design -Layout styles -Full custom -Semi custom approaches. VLSI Fabrication Techniques : .An overview of wafer fabrication –Wafer Processing -Oxidation -Patterning -Diffusion - Ion Implantation -Deposition –Silicon gate nMOS process - CMOS processes -nWell - pWell -Twin tub -Silicon on insulator- CMOS process (enhancements -Interconnect -Circuit elements. MODULE 2 (13Hours) Basic Electrical Properties Of MOS And CMOS Circuits: nMOS enhancement transistor -PMOS enhancement transistor -Threshold voltage - Threshold voltage equations -MOS device equations -Basic DC equations - Second order effects - MOS Modules - Small signal AC characteristics - nMOS inverter -Steered input to an nMOS inverter - Depletion mode and enhancement mode pull ups – CMOS inverter -DC characteristics -Inverter delay -Pass transistor -Transmission gate. MODULE 3 (13 Hours) Layout Design Rules: Need for design rules - Mead Conway design rules for the silicon gate nMOS process - CMOS nwell-Pwel1 design rules - Simple layout examples - Sheet resistance - Area capacitance -Wiring capacitance - Drive large capacitive loads. MODULE 4 (14 Hours) Logic Design : Switch logic - Pass transistor and transmission gate -Gate logic - Inverter -Two input NAND gate -NOR gate - Other forms of CMOS logic –Dynamic CMOS logic -Clocked CMOS logic - Precharged domino CMOS logic - Structured design -Simple combinational logic design examples –Parity generator -Multiplexers – Clocked sequential circuits - Two phase clocking - Charge storage –Dynamic register element - nMOS and CMOS - Dynamic shift register - Semi static register - JK flip flop circuit.

REFERENCES 1. Doglas A. PuckJ1ell and Kamran Eshranghian, Basic VLSI design, Prentice Hall of India, New Delhi 2. Neil H. E. West and Kamran Eshranghian, Principles of CMOS VLSI Design: A System Perspective, Addison- Wesley. 3. Amar Mukherjee, Introduction to nMos and CMOS VLSI System Design, Prentice Hall, USA., 4. Caver Mead and LyTUI Conway, Introduction to VLSI Systems, Addison- Wesley, USA. 5. Eugene D. Fabricus, Introduction to VLSI Design, McGraw Hill International Edn


Module 2

Module 3

Module 4









SOFT COMPUTING EIC11 302(B)

TECHNIQUES

Credits: 4

(Common for EPE10 302(B), CEH10 302(B), MIT10 302(B), PMS10 302(B),EIC11 302(B) Hours/week: Lecture-3 and Tutorial-1

Objective To acquaint the students with soft computing methodologies such as neural networks, fuzzy logic, genetic algorithms and hybrid algorithms and enable the students to implement real time intelligent and adaptive systems. MODULE 1 (13Hours) Introduction to Fuzzy logic: Fuzzy sets- Fuzzy set operations- Fuzzy relations-Cardinality of Fuzzy relations-Operations on Fuzzy relations-Properties of Fuzzy relations-Membership Functions-Features of Membership functions- Fuzzification-Methods of Membership value assignments- Fuzzy rule base- Defuzzification- different methods- Fuzzy logic controller(Block Diagram) MODULE 2 (14 Hours) Artificial Neural Networks: Basic concepts-Neural network Architectures-Single layer feed forward network-Multilayer feed forward network-Recurrent Networks-Characteristics of neural networks-Learning methods- Perceptron networks-Back propagation networks-Radial base function network-Hopfield network- Kohonen self organizing maps-ART MODULE 3 (13 Hours) Fundamentals of genetic algorithms: Basic concepts- Working principle – Encoding – Different methods – Fitness function – Reproduction-Different methods- Genetic modelingInheritance- Crossover mutation-Convergence of genetic algorithm. MODULE 4 (14 Hours) Hybrid systems: Neural network- Fuzzy logic and genetic algorithm hybrids – Neuro fuzzy hybrids- Neuro genetic hybrids-Fuzzy genetic hybrids-Genetic algorithm based back propogation network- Fuzzy back propagation networks -Fuzzy logic controlled genetic algorithms.

REFERENCES 1. S.Rajasekharan, G.A.Vijayalakshmi Pai, Neural Network, Fuzzy Logic and Genetic 2. Algorithms Synthesis and Applications, Prentice Hall India. 3. S.N.Sivanandam, S.N.Deepa, Principles of Soft Computing, Wiley India. 4. Timothy J Ross, Fuzzy logic with Engineering Applications, McGraw Hill ,New York. 5. S.Haykins, Neural Networks a Comprehensive foundation, Pearson Education. 6. D.E.Goldberg, Genetic Algorithms in Search Optimisation and Machine Learning, Pearson Education. 7. Recent Literature. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









INDUSTRIAL INSTRUMENTATION EIC11 302(C)

(Common for EPE10 301(C), EIC11 302(C))

Credits: 4

Hours/week: Lecture-3 and Tutorial-1 Objective To create an awareness of the different transducers used in industry and signal conditioning and to familiarize the process control elements and their control characteristics. MODULE 1 (13 Hours) Signal Conditioning – Analog – Digital - Signal conversions - Process control principles Identification of elements- Block diagram- The loop- Control system evaluation stabilityRegulation-Evaluation criteria- Cyclic response. MODULE 2 (14 Hours) Final Control Element: Final control operation- Signal conversions- Analog electrical signalDigital electrical signals- Direct action – Pneumatic signals- Actuators – Electrical actuatorsPneumatic actuators- Control elements – Fluid valves- Signal conditioning of transducersTemperature transducers - Flow transducers MODULE 3 (14 Hours) Controller Principles - Process characteristics-Control system parameters-Controller modesDiscontinuous controller modes- Continuous controller modes- Composite controller modes. Analog Controllers - Electronic controller – Direct action- Reverse action- Proportional modeIntegral mode- Derivative mode- Composite controller modes - Pneumatic controllers – Implementation of PI, PID, PD - Design consideration. MODULE 4 (13 Hours) Control Loop Characteristics: Control system configurations- Cascade control- Multivariable control- Feed forward control- Split range control- Inferential control- Adaptive controlControl system quality – Loop disturbance- Optimum control- Measure of quality- StabilityProcess loop tuning

REFERENCES 1. Curtis D. Johnson, Process Control Instrumentation Technology, Pearson Education 2. Curtis D. Johnson, Microprocessors in Process Control, PHI 3. George Stephanopoulis, Chemical Process Control 4. Caughner, Process Analysis and Control 5. Deshpande and Ash, Elements of computer process control of Industrial processes, ISA 6. Jayantha K. Paul, Real- Time microcomputer control of Industrial processes, Kluwer Publications, Netherlands 7. S. K. Singh, Computer Aided Process Control, PHI 8. Dale E. Seborg, Thomas F. Edgar, Duncan A. Mekkichamp, Process Dynamics and Control, Wiley India Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









EIC11 302(D)

OPTIMAL ESTIMATION AND FILTERING

Credits: 4


Objective Understanding and studying of random process and stochastic systems-linear optimal filters and predictors-implementation methods of optimal smoothers-nonlinear filtering and practical considerations. MODULE 1 (12 Hours) Probability and random variables – Statistical properties of random variables and random processes – Linear random process models – Shaping filters and state augmentation – Mean and covariance propagation – Relationship with model parameters – Orthogonality principle. MODULE 2 (12 Hours) Kalman filter – Kalman Bucy Filter – Optimal linear predictors – Correlated noise sources – Relation between Kalman Bucy and Wiener filters- Quadratic loss function – Matrix Riccati differential equation and in discrete time – Model equations for transformed variables – Application of Kalman filters. MODULE 3 (14 Hours) Fixed Interval, fixed lag and fixed point smoothers – Algorithms- Computer round off –Effect of round off errors on Kalman filters- Factorization methods for square root filtering – Square root UD filters – Other implementation methods MODULE 4 (16 Hours) Quasi-linear filtering ––Extended Kalman Filters (EKF) – Iterated EKF -Sampling methods for nonlinear filtering- Detecting and correcting anomalies – Bad data and missing data – Stability of Kalman filters – Suboptimal and reduced order filters – Memory throughput- Word length considerations - Computational efforts – Reduction – Error budgets and sensitivity analysis – Optimizing measurement selection policies.

Text Books 1. Mohinder S Grewal and Angus P. Andrews, Kalman Filtering Theory and Practice Using

MATLAB , John Wiley and Sons , 2008. 2. B D O Anderson, John B Moore: Optimal Filtering, Prentice Hall Inc.

REFERENCES 1. Meditch J S, Stochastic Optimal Estimation and Control, 1982.

2. Edward W. Kamen, Jonathan K. Su, Introduction to Optimal Estimation, Springer Publishers. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be a minimum of two tests per subject. The assessment details are to be announced to students’ right at the beginning of the semester by the teacher. End semester Examination: 100 marks Pattern for the Question paper Any five questions to be answered by choosing at least one question from each module. Module 1

Module 2

Module 3

Module 4









EIC11 303(P)

INDUSTRIAL TRAINING

Credits: 1

Hours/week: 30 (during the period of training)

Objective Upon completion of industrial training, the student gains awareness of issues related to designing and maintaining sophisticated equipments, their management and he/she learns to correlate theory with industrial practice. The students have to arrange and undergo an industrial training of minimum two weeks in an industry preferably dealing with instrumentation/control system equipments during the semester break between semester 2 and semester 3, and complete within 15 calendar days from the start of semester 3. The students are requested to submit a report of the training undergone and present the contents of the report before the evaluation committee. Evaluation committee will award the marks of end semester based on training quality, contents of the report and presentation.

Internal Continuous Assessment: 50 Marks

EIC11 304(P)

MASTER RESEARCH PROJECT PHASE 1

Credits: 6

Hours/week: 22 Objective This course aims to improve the professional competency and research aptitude by touching the areas which otherwise not covered by theory or laboratory classes. The project work aims to develop the work practice in students to apply theoretical and practical tools/techniques to solve real life problems related to industry and current research. Also, continued and self learning skill of the student is enhanced. The project work can be a design project/experimental project and/or computer simulation project on any of the topics in instrumentation /control systems related topics. The project work is allotted individually on different topics. The students shall be encouraged to do their project work in the parent institute itself. If found essential, they may be permitted to continue their project outside the parent institute, subject to the conditions in clause 10 of M.Tech regulations. Department will constitute an Evaluation Committee to review the project work. The Evaluation committee consists of at least three faculty members of which internal guide and another expert in the specified area of the project shall be two essential members. The student is required to undertake the master research project phase 1 during the third semester and the same is continued in the fourth semester (Phase 2). Phase 1 consist of preliminary thesis work, two reviews of the work and the submission of preliminary report. First review would highlight the topic, objectives, methodology and expected results. Second review evaluates the progress of the work, preliminary report and scope of the work which is to be completed in the 4th semester. The Evaluation committee consists of at least three faculty members of which internal guide and another expert in the specified area of the project shall be two essential members. Internal Continuous assessment:

Total

150

150

=================================================== SEMESTER 4 =================================================== EIC11 401

MASTERS RESEARCH PROJECT PHASE 2

Credits: 12

Hours/week: 30

Objective This course aims to improve the professional competency and research aptitude by touching the areas which are otherwise not covered by theory or laboratory classes. The project work aims to develop the work practice in students to apply theoretical and practical tools/techniques to solve real life problems related to industry and current research. Also, continued and self learning skill of the student is enhanced. Master Research project phase 2 is a continuation of project phase 1 started in the third semester. There would be two reviews in the fourth semester, first in the middle of the semester and the second at the end of the semester. First review is to evaluate the progress of the work, presentation and discussion. Second review would be a pre-submission presentation before the evaluation committee to assess the quality and quantum of the work done. This would be a pre qualifying exercise for the students for getting approval by the departmental committee for the submission of the thesis. At least one technical paper is to be prepared for possible publication in journal or conferences. The technical paper is to be submitted along with the thesis. The final evaluation of the project will be external. Internal Continuous assessment:

Total

150

150

End Semester Examination: - Project Evaluation by external examiner: 150 Marks, Viva Voce by external / internal: 150 Marks

approved - University of Calicut

approved - University of Calicut

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