Digital Control System

Objective & Outcome of learning This course imparts knowledge to students about application of digital signal processing and state space analysis in designing of digital control systems and analyzing the stability of digital control systems using various techniques. At the end of the course the students will be able to design and analyze the stability of digital control systems.

1. Signal Processing in Digital Control:

Basic digital control system, advantages of digital control and implementation problems, basic discrete time signals, Z - transform and inverse Z- transform, modeling of sample hold circuit, pulse transfer function, solution of difference equation by Z- transform method, stability on the z-plane and jury stability criterion, bilinear transformation, Routh Stability Criterion on plane.

2. Design of Digital Control Algorithms:

Steady state accuracy, transient response and frequency response specifications, digital compensator design using frequency response plots and root locus plots.

3. State Space Analysis and Design:

State space representation of digital control system, conversion of state variable models to transfer functions and vice versa, solution of state difference equations, controllability and absorbability, design control system with state feedback, stability analysis using Lyapunov stability theorem, optimal digital control system.

Reference:

1. B.C. Kuo, “Digital Control System”, Saunders college publishing 1992

2. K.Ogata, “Discrete Time Control System”, Prentice Hall 1987

3. C.L. Philips and T. Nagle, “Digital Control System Analysis and Design”, Prentice Hall 1990

4. M.Gopal, “Digital Control and State VariableMethods”,TMH 1997

5. J.R leigh, “Applied Digital Control”, Prentice Hall 1985