CE00446-7 Control Systems Design

To strengthen the students' understanding of control systems design and dynamics and introduce them to new techniques. The material is illustrated with simple but relevant examples.

Review of classical control approaches, e.g. PID, Root locus, frequency control etc.
State-space representation/modelling, control system performance indicators, e.g. stability, controllability and observability
Systems with delay. The Smith predictor. Pole allocation using state feedback and output injection. Observer design and dynamic stabilisation.
Advanced control approaches, e.g. e.g. adaptive control, variable structure control/sliding mode control, nonlinear control, iterative learning control and networked control techniques
Case studies: modelling and control of a robot manipulator, modelling and control of an underactuated system (magnetic suspension system )