| This course will cover topics in classical control system design, feedforward and feedback control, stability, performance, robustness and sensitivity, sampled data control systems. Sampled signals, the Nyguist sampling Theorem, reconstruction, aliasing and anti-aliasing filters. Digital control systems analysis, discrete time models of continuous time plants, effect of transportation delay, reachability, controllability and observability, mapping of system poles and zeros, transmission zeros, frequency response in sampled data systems, multi-rate sampling. Digital translation of analog controllers. Analysis techniques in sampled data control systems, stability, noise and disturbance rejection, unmodelled dynamics. Digital control system design, state space techniques, dynamic pole placement techniques. Digital control system implementation issues, architecture, quantization, coefficient wordlength, execution speed. |
