Introduction; Mathematical modelling of physical systems: Transfer functions, Block-diagram and signal flow graph; Characterization of systems: Stability, Time domain response, Frequency domain response, Equivalence between time and frequency domain response features, Steady state errors and system types; Advantages of closed loop operation: Sensitivity and complementary sensitivity, Disturbance and noise reduction, Structured and unstructured plant uncertainties; Analysis of closed loop systems: Stability and relative stability using root-locus approach, Nyquist stability criterion; Compensation techniques: Performance goals: Steady-state, transient and robustness specifications, PID, lag-lead and algebraic approaches for controller design; Sampled-data systems: Necessity of sample and hold operations for computer control, Sampling theorem, z-transform, Stability and response of sampled-data systems, Controller design, Special features of digital control systems; State variable Analysis: Concepts of state, State variable, State model, State models for linear continuous time functions, Diagonalization of transfer function, Solution of state equations, Concept of controllability & observability; Practical control system design examples.
Texts/References:
- B. C. Kuo, ‘Automatic Control Systems’, Wiley, 2003
- K. Ogata, ‘Modern Control Engineering’, Prentice Hall, 1997
- R. C. Dorf and R. H. Bishop, ‘Modern Control Systems’, Pearson Education, Inc, 2008.
- W. A. Wolovich, ‘Automatic Control Systems’, Saunders College, 1994
- R. T. Stefani, ‘Design of Feedback Control Systems’, Oxford University Press, 2002.
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