B.E DEGREE PROGRAMME
CURRICULUM AND SYLLABUS – REGULATIONS – 2004 SEMESTER VII
(Applicable to the students admitted from the Academic year 2006 – 2007 onwards)
| THEORY | L | T | P | M | ||
1. | IC 1401 | Computer Control of Process | 3 | 0 | 0 | 100 |
2. | IC 1402 | Computer Network & Distributed Control Systems | 3 | 0 | 0 | 100 |
3. | IC 1403 | Neural Network & Fuzzy Logic Control | 3 | 0 | 0 | 100 |
4 | EI 1001 | Fibre Optics and Laser Instruments | 3 | 0 | 0 | 100 |
5. |
| Elective – I | 3 | 0 | 0 | 100 |
6. |
| Elective – II | 3 | 0 | 0 | 100 |
* No Examination |
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| PRACTICAL |
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1. | EI 1401 | Design Project Laboratory | 0 | 0 | 3 | 100 |
2. | IC 1404 | Computer Control of Process Laboratory | 0 | 0 | 3 | 100 |
3. | EI 1452 | Comprehension | 0 | 0 | 2 | -- |
IC 1401 COMPUTER CONTROL OF PROCESS 3 0 0 100
AIM
To provide sound knowledge on the principle of discrete data control system and PLC.
OBJECTIVES
i. To study the importance of state-space representation and stability analysis of discrete data system.
ii. To develop different types of algorithm for digital controllers.
iii. To provide adequate knowledge about the various ways of using computers for control.
iv. To give an introductory knowledge about PLC and the programming languages.
v. To give adequate knowledge about of application of PLC.
1. ANALYSIS OF DISCRETE DATA SYSTEM 9
State-space representation of discrete data systems – Selection of sampling process – Selection of sampling period – Review of z-transform – Pulse transfer function – Modified z-transform - Stability of discrete data system – Jury’s stability test.
2. DESIGN OF DIGITAL CONTROLLER 9
Digital PID – Position and velocity form – Deadbeat’s algorithm – Dahlin’s algorithm – Kalman’s algorithm - Pole placement controller – Predictive controller.
3. COMPUTER AS A CONTROLLER 9
Basic building blocks of computer control system – Data acquisition systems – SCADA – Direct digital control – Introduction to AI and expert control system – Case study - Design of computerized multi loop controller.
4. PROGRAMMABLE LOGIC CONTROLLER 9
Evolution of PLC’s – Components of PLC – Advantages over relay logic - PLC programming languages – Ladder diagram – Programming timers and counters – Design of PLC.
5. APPLICATIONS OF PLC 9
Instructions in PLC – Program control instructions, math instructions, sequencer instructions – Use of PC as PLC – Application of PLC – Case study of bottle filling system.
L = 45 Total = 45
TEXT BOOKS
1. P.B. Deshpande, and R.H.Ash, ‘Computer Process Control’, ISA Publication, USA, 1995.
2. Petruzella, ‘Programmable Controllers’, McGraw Hill, 1989.
REFERENCE BOOKS
1. C.M.Houpis, G.B.Lamount, ‘Digital Control Systems Theory, Hardware and
Software’, International Student Edition, McGraw Hill Book Co., 1985.
2. G. Stephanoupoulis, ‘Chemical Process Control’, Prentice Hall of India, New Delhi, 1990.
3. T.Hughes, ‘Programmable Logic Controllers, ISA press.
4. Singh, ‘Computer Aided Process Control’, Prentice Hall of India, 2004.
IC 1402 COMPUTER NETWORK AND DISTRIBUTED CONTROL SYSTEM
AIM
To illustrate the concept of networking of computers and distributed control
system.
OBJECTIVES
i. To provide fundamental knowledge about computer networks.
ii. To provide comprehensive knowledge about the methods of internetworking.
iii. To give basic knowledge in the architecture and local control unit of distributed control system.
iv. To give adequate information in the interfaces used in DCS.
v. To give basic knowledge about HART (Highway Addressable Remote Transducer) and field bus technology.
1. DATA NETWORK FUNDAMENTALS 9
Network hierarchy and switching – Open system interconnection model of ISO – Data link control protocol – BISYNC – SLDC – HLDC – Media access protocol – Command – Token passing – CSMA/CD, TCP/IP.
2. INTERNET WORKING 8
Bridges –Routers – Gateways – Open system with bridge configuration – Open system with gateway configuration – Standard ETHERNET and ARCNET configuration – Special requirement for networks used for control.
3. DISTRIBUTED CONTROL SYSTEM 9
Evolution – Architectures – Comparison – Local control unit – Process interfacing issues – Communication facilities.
4. INTERFACES IN DCS 9
Operator interfaces - Low level and high level operator interfaces – Operator displays - Engineering interfaces – Low level and high level engineering interfaces – General purpose computers in DCS.
5. HART AND FIELD BUS 10
Evolution of signal standards – HART communication protocol – Communication modes – HART networks – Control system interface – HART and OSI model – Filed bus introduction – General field bus architecture – Basic requirements of field bus standard – Field bus topology – Inter operability.
L = 45 Total = 45
TEXT BOOKS
1. A.S. Tanenbaum, ‘Computer Networks’, 3rd Edition, Pearson Education, 1996 / PHI.
2. Michael P. Lukas, ‘Distributed Control System’, Van Nostrand Reinhold Co., Canada, 1986.
REFERENCE BOOKS
1. G. K. McMillan, ‘Process/Industrial Instruments Hand book’, Tata McGraw Hill, New York, 1999.
2. Romily Bowden, ‘HART application Guide and OSI communication Foundation’, 1999.
3. W. Buchanan, ‘Computer Buses’, Arnold Publishers, London, 2000.
IC 1403 NEURAL NETWORK AND FUZZY LOGIC CONTROL 3 0 0 100
AIM
To cater the knowledge of Neural Networks and Fuzzy Logic Control and use
these for controlling real time systems.
OBJECTIVES
i. To expose the students to the concepts of feed forward neural networks.
ii. To provide adequate knowledge about feed back neural networks.
iii. To teach about the concept of fuzziness involved in various systems. To provide adequate knowledge about fuzzy set theory.
iv. To provide comprehensive knowledge of fuzzy logic control and adaptive fuzzy logic and to design the fuzzy control using genetic algorithm.
v. To provide adequate knowledge of application of fuzzy logic control to real time systems.
1. ARCHITECTURES 9
Introduction – Biological neuron – Artificial neuron – Neuron modeling – Learning rules – Single layer – Multi layer feed forward network – Back propagation – Learning factors.
2. NEURAL NETWORKS FOR CONTROL 9
Feed back networks – Discrete time hop field networks – Transient response of continuous time networks – Applications of artificial neural network - Process identification – Neuro controller for inverted pendulum.
3. FUZZY SYSTEMS 9
Classical sets – Fuzzy sets – Fuzzy relations – Fuzzification – Defuzzification – Fuzzy rules.
4. FUZZY LOGIC CONTROL 9
Membership function – Knowledge base – Decision-making logic – Optimisation of membership function using neural networks – Adaptive fuzzy system – Introduction to genetic algorithm.
5. APPLICATION OF FLC 9
Fuzzy logic control – Inverted pendulum – Image processing – Home heating system – Blood pressure during anesthesia – Introduction to neuro fuzzy controller.
L = 45 Total = 45
TEXT BOOKS
1. Jacek M. Zurada, ‘Introduction to Artificial Neural Systems’, Jaico Publishing home, 2002.
2. Timothy J. Ross, ‘Fuzzy Logic with Engineering Applications’, Tata McGraw Hill, 1997.
REFERENCE BOOKS
1. Laurance Fausett, Englewood cliffs, N.J., ‘Fundamentals of Neural Networks’, Pearson Education, 1992.
2. H.J. Zimmermann, ‘Fuzzy Set Theory & its Applications’, Allied Publication Ltd., 1996.
3. Simon Haykin, ‘Neural Networks’, Pearson Education, 2003.
4. John Yen & Reza Langari, ‘Fuzzy Logic – Intelligence Control & Information’, Pearson Education, New Delhi, 2003.
EI 1401 DESIGN PROJECT LABORATORY 0 0 3 100
1. Design and implementation of instrumentation amplifier.
2. Design and implementation of active filter.
3. Design and implementation of V/I and I/V converters.
4. Design and implementation of cold – junction compensation circuit for thermocouple.
5. Design and implementation of signal conditioning circuit for RTD.
6. Design of orifice plate and rotameter.
7. Design of control valve (sizing and flow – lift characteristic)
8. Design of PID controller (using operational amplifier and microprocessor)
9. Piping and Instrumentation Diagram – case study.
10. Preparation of documentation of instrumentation project (process flow sheet, instrument index sheet and instrument specifications sheet).
P = 45 Total = 45
IC 1404 COMPUTER CONTROL OF PROCESS LABORATORY 0 0 3 100
AIM
To study the concept of controlling the different continuous / discrete process using computers, DCS / PLC.
1. Simulation of first order system and second order with and without dead time using discretization method and Runge – Kutta method
2. Design of Discrete P+I+D controller for a first order system
3. Study of Programmable logic controller.
4. Control of Bottle filling system using PLC.
5. PC based Data Acquisition.
6. Simulation of complex control systems using matlab package.
7. Operation of computer controlled liquid level system.
8. Operation of computer controlled thermal system.
9. Study of distributed control system.
10. Design of dead beat / Dahlin algorithms.
P = 45 Total = 45
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