Syllabus for credit based curriculum 2010 – 2011 onwards



Yüklə 140.45 Kb.
səhifə1/5
tarix08.08.2018
ölçüsü140.45 Kb.
  1   2   3   4   5



M.Tech. DEGREE
(Process Control and Instrumentation)



SYLLABUS FOR
CREDIT BASED CURRICULUM
2010 – 2011

onwards

Department of Chemical Engineering

and

Department of Instrumentation and Control Engineering

NATIONAL INSTITUTE OF TECHNOLOGY

TIRUCHIRAPPALLI - 620 015.



M.Tech. PROCESS CONTROL & INSTRUMENTATION

Course Structure and Scheme of Evaluation (Semester – wise)



[The total minimum number of credits = 64]

Code MPC

Name of the Subject

Hours / week

L T P

Credit

SEMESTER I

CL 651

Instrumentation

3 0 0

3

CL 653

Modern Control System

3 0 0

3

CL 601

Advanced Process Control

2 1 0

3

CL 603

Process Modeling and Simulation

2 1 0

3




Elective I

3 0 0

3




Elective II

3 0 0

3

CL 659

Process Control Laboratory

0 0 3

2

Total number of credits in Semester I

20

SEMESTER II

CL 652

Computer Control of Process

3 0 0

3

CL 654

Industrial Communication Systems

3 0 0

3

CL 656

System Identification

3 0 0

3




Elective III

3 0 0

3




Elective IV

3 0 0

3




Elective V

3 0 0

3

CL 698

Control & Instrumentation Lab

0 0 3

2
Total number of credits in Semester II

20

SEMESTER III

CL 697

Project Work

12

Total number of credits in Semester – III

12

SEMESTER IV

CL 798

Project Work

12

Total number of credits in Semester – IV

12

Total Credits in the Course

64


Elective I & II:


CL 661

Chemical Process Systems

CL 663

Process Dynamics

CL 665

Instrumentation for Environmental Analysis




Any PG Elective from other Department


Elective III, IV & V


CL 658

Distillation Control

CL 660

Bio process instrumentation and Control

CL 662

Fuzzy logic and Neural Networks

CL 664

Internet for measurement Control




Any PG Elective from other Department


List of Reserved Electives

CL 666

Logic and Distributed Control System

CL 667

Computer Networks

CL 668

Multi Sensor Data Fusion

CL 669

Optimal Control Theory

CL 670

Stochastic Processes and Estimation theory

CL 671

Bioprocess Engineering

CL 672

Digital Control System Design

CL 673

Discrete Output Feedback Control

CL 674

Chemical Process Flow sheeting

CL 675

Real Time and Embedded Systems

CL 676

Virtual Instrumentation

CL 677

Adaptive Control

CL 678

Microelectro-Mechanical Systems

CL 679

Advanced Applied Process Control

CL 680

Piping and Instrumentation

CL 681

Modeling with Data

CL 683

Probability and Computing

CL 685

Computational Techniques in Control Engineering
CL 651 INSTRUMENTATION

General concepts and terminology of measurement systems, static and dynamic characteristics, errors, standards and calibration.


Introduction, principle, construction and design of various active and passive transducers. Introduction to semiconductor sensors and its applications.




Design of signal conditioning circuits for various Resistive, Capacitive and Inductive transducers and piezoelectric transducer.

Introduction to transmitters, two wire and four wire transmitters, Smart and intelligent Transmitters. Design of transmitters.

Introduction to EMC, interference coupling mechanism, basics of circuit layout and grounding, concept of interfaces, filtering and shielding.

Safety: Introduction, electrical hazards, hazardous areas and classification, non-hazardous areas, enclosures – NEMA types, fuses and circuit breakers. Protection methods: Purging, explosion proofing and intrinsic safety.
TEXT BOOKS:


  1. John P. Bentley, Principles of Measurement Systems, Third edition, Addison Wesley Longman Ltd., UK, 2000.

  2. Doebelin E.O, Measurement Systems - Application and Design, Fourth edition, McGraw-Hill International Edition, New York, 1992.


REFERENCES:

  1. M. Sze, “Semiconductor sensors”, John Wiley & Sons Inc., Singapore, 1994.

  2. Noltingk B.E., “Instrumentation Reference Book”, 2nd Edition, Butterworth Heinemann, 1995.

  3. L.D.Goettsche, “Maintenance of Instruments and Systems – Practical guides for measurements and control”, ISA, 1995.



CL 653 MODERN CONTROL SYSTEM

System Models

Examples, Building blocks of state space models, Canonical forms, State equation and its solution, Properties of the state transition matrix, Special cases, Modelling Discrete-time systems with delay operators.


Numerical Computations

Basic linear algebra, Eigenvalues and Eigenvectors, Similarity transformation, Gram-Schmidt Orthonormalization, Computing the matrix exponential using different algorithms, State transition matrix for discrete-time systems, Computational complexity.


Stability

Modelling energy of the system in terms of quadratic functions, Lyapunov’s criterion for continuous- and discrete-time systems, Numerical methods for solving the Lyapunov equation, Computational complexity.


Controllability & Observability

Definitions, Rank tests, Computational methods of determining rank, Computational complexity, Lyapunov equation and Grammians.


Design in State Space

State feedback control for controllable canonical form, State feedback control in general, State feedback for discrete-time systems, Computational algorithms and their complexity, Output feedback control. Full-order and reduced-order observers, Physical aspects of control system design in state space.


TEXT BOOKS/REFERENCES


  1. Ramakalyan, A., Control Engineering: A Comprehensive Foundation, Vikas Publishing House, New Delhi, 2003.

  2. Ogata, K., Discrete-Time Control Systems, 2/e, Prentice Hall of India.

  3. Datta, B.N., Numerical Methods for Linear Control Systems, Elsevier, 2004. (A cheaper Indian reprint is available)



CL 601 ADVANCED PROCESS CONTROL
Review of Systems: Review of first and higher order systems, closed and open loop response. Response to step, impulse and sinusoidal disturbances. Transient response. Block diagrams.
Stability Analysis: Frequency response, design of control system, controller tuning and process identification. Zigler-Nichols and Cohen-Coon tuning methods, Bode and Nyquist stability criterion. Process identification.
Special Control Techniques: Advanced control techniques, cascade, ratio, feed forward, adaptive control, Smith predictor, internal model control.
Multivariable Control Analysis: Introduction to state-space methods, , Control degrees of freedom analysis and analysis, Interaction, Bristol arrays, Niederlinski index - design of controllers, Tuning of multivariable controllers.
Sample Data Controllers: Basic review of Z transforms, Response of discrete systems to various inputs. Open and closed loop response to step, impulse and sinusoidal inputs, closed loop response of discrete systems. Design of digital controllers. Introduction to PLC and DCS.
TEXT BOOKS:

  1. D.R. Coughanour, ‘Process Systems analysis and Control’, McGraw-Hill, 2nd Edition, 1991.

  2. D.E. Seborg, T.F. Edger, and D.A. Millichamp, ‘Process Dynamics and Control’, John Wiley and Sons, 2nd Edition, 2004.

REFERENCES:

  1. B.A.Ogunnaike and W.H.Ray, “Process Dynamics, Modelling and Control”, Oxford Press, 1994.

  2. W.L.Luyben, ‘Process Modelling Simulation and Control for Chemical Engineers’, McGraw Hill, 2nd Edition, 1990.

  3. B.W. Bequette, ‘Process Control: Modeling, Design and Simulation’, PHI, 2006.

  4. S. Bhanot, ‘Process Control: Principles and Applications’, Oxford University Press, 2008.


CL 603 PROCESS MODELLING AND SIMULATION
Introduction to modelling, a systematic approach to model building, classification of models. Conservation principles, thermodynamic principles of process systems.
Development of steady state and dynamic lumped and distributed parameter models based on first principles. Analysis of ill-conditioned systems.
Development of grey box models. Empirical model building. Statistical model calibration and validation. Population balance models. Examples.
Solution strategies for lumped parameter models. Stiff differential equations. Solution methods for initial value and boundary value problems. Euler’s method. R-K method, shooting method, finite difference methods. Solving the problems using MATLAB/SCILAB.
Solution strategies for distributed parameter models. Solving parabolic, elliptic and hyperbolic partial differential equations. Finite element and finite volume methods.
TEXT BOOKS:


  1. K. M. Hangos and I. T. Cameron, “Process Modelling and Model Analysis”, Academic Press, 2001.

  2. W.L. Luyben, “Process Modelling, Simulation and Control for Chemical Engineers”, 2nd Edn., McGraw Hill Book Co., New York, 1990.

  3. W. F. Ramirez, “Computational Methods for Process Simulation”, Butterworths, 1995.


REFERENCES:


  1. Mark E. Davis, “Numerical Methods and Modelling for Chemical Engineers”, John Wiley & Sons, 1984.

  2. Singiresu S. Rao, “Applied Numerical Methods for Engineers and Scientists” Prentice Hall, Upper Saddle River, NJ, 2001

CL652 COMPUTER CONTROL OF PROCESS




Dostları ilə paylaş:
  1   2   3   4   5


Verilənlər bazası müəlliflik hüququ ilə müdafiə olunur ©genderi.org 2017
rəhbərliyinə müraciət

    Ana səhifə