EEU 307 CONTROL SYSTEM ENGINEERING

S5 Core

L / T / P / C
3 / 1 / 0 / 4

Objectives: To provide sound knowledge in the analysis and design of linear control systems.

Level of the course: Understanding & Analysis Level

Prerequisite: NIL

MODULE I (15 hours)

Study of Control System Components-Sensors and actuators-Servo Control Systems-Various control schemes-on-off, regulator, tracking control- Concept of stability-Asymptotic Stability-BIBO stability- Routh-Hurwitz’s stability criterion for Transfer Function models-Nyquist Stability criterion- Stability using Root Locus-Bode Plots-Absolute Stability and Relative Stability-Stability Margins- Classical methods for design of control systems- Design of Compensators-lead lag lead-lag design using Bode plots or Root Locus- Proportional Integral, and Derivative control strategies and use of their combinations - Design of PID Controllers-PID Tuning Methods in process control- Control of systems with Time delay or Dead time. Feedforward Control-Combinations of Feedforward and feedback designs. Introduction to Computer Aided Control system design.

MODULE II (15 hours)

State space models for continuous time linear single input single output systems: Concept of State and State Space - linear systems in state space - state models from transfer functions- Examples of DC Servomotor control-Inverted pendulum-Canonical forms-inter conversion of canonical forms-State Transition Matrix-Derivation-Properties- Force free, Forced and complete response- Introduction to Multi input multi output systems- Transfer functions from State space models.

MODULE III (15 hours)

Controllability, Observability and Stability –Controllable and uncontrollable modes-Testing for controllability and Observability for Single input single output systems-Pole zero cancellation for uncontrollable-unobservable systems. Stability Analysis in State Space Domain-Relation between poles and eigen values-Lyapunov’s stability- stability theorems- Stability Analysis using Lyapunov’s Second Method for Linear Systems-Pole Placement design for state feedback-Ackerman’ formula-Introduction to Observers. Introduction to Computer simulation for state space models.

MODULE IV (11 hours)

Introduction to Sampled data and discrete time systems-Sampling Process- ideal sampler- Definition of Z Transform and Inverse Z Transform-Z-Transform & Inverse Z Transform pairs-Theorems of Z transform-Sample & Hold- Zero order Hold-Finite pulse width sampling-Examples for finding z-Transform and Inverse z-Transforms.

Text Books

1.  Gene F Franklin, J David Powell, Abbas Emami Naeini, Feedback Control of Dynamic Systems, 4th Ed, Pearson Education Asia, 2002

  1. Gopal M, Nagrath .I.J, Control Systems Engineering., Wiley Eastern,1978
  2. D. Roychoudhary, Modern Control Engineering, Prentice Hall India, 2005.

Reference Books

1  Richard C. Dorf and Robert H Bishop, Modern Control Systems, 8th Ed., Addison Wesley, 1998.

2  Benjamin C Kuo, Automatic Control Systems, 7th Ed, Prentice Hall India,1995.

3  Eronini Umez Eronini, System Dynamics and Control, Thomson Brooks/Cole,1999

4  John J D’Azzo, Constantine H Houpis, Stuart N. Sheldon, Linear Control System Analysis & Design with MATLAB, 5th Ed, Marcel Dekker, 2003

5  John Dorsey, Continuous & Discrete Control Systems, McGrawHill, 2002.

6  Wayne H Chen, The Analysis of Linear Systems, McGrawHill, 1963.

7  Norman S. Nise, Control Systems Engineering, 4th Ed., John Wiley, 2004.

8  Karl J. Aström, Björn Wittenmark, Computer Controlled Systems: Theory and Design, 3rd Ed. Prentice Hall, 1997.

9  Douglas M. Considine, Process/Industrial Instruments & Control Handbook, 4th Ed., McGrawHill, 1993.

10  Graham C Goodwin, Stefan F Graebe, Mario E Salgado, Control System Design, Prentice Hall India, 2003.

11  Donald R. Gughanowr, Process Systems Analysis and Control, 2nd Ed., McGrawHill, 1991.