Course overview
This hands-on course covers a variety of advanced topics in automatic control system design. This involves time domain descriptions of dynamic systems using state-space system models. Control laws using state-space methods are introduced, including optimal control (LQR and LQG) and advanced PID. State observers are presented, including observer design using both pole placement and optimal (Kalman) observers. The implementation of state space controllers and Kalman filters in digital systems is also covered.
Course learning outcomes
- Explain control concepts such as controllability, observability, poles and zeros, stability
- Design optimal control systems
- Design state estimators
- Design advanced PID controllers
- Design Digital Controllers by emulation
- Implement control systems in MATLAB/Simulink
Availability
Class details
Mawson Lakes
Class number 58012
Section PR01
Size 60
Available 60
Class number 58013
Section TU01
Size 25
Available 25
Class number 60011
Section LE01
Size 200
Available 200
Adelaide City Campus East
Class number 58014
Section PR01
Size 60
Available 60
Class number 58016
Section TU01
Size 25
Available 25
Class number 58015
Section TU02
Size 25
Available 25
Class number 60010
Section LE01
Size 200
Available 200
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