Control system design

This unit introduces core methods for the analysis and design of feedback controllers for dynamical systems. Linear time-invariant models of dynamical systems, and their representations based on differential equations, transfer functions, state space models, and time and frequency response are covered. The concepts of poles and zeros, forward transfer functions, and PID control will be developed. Stability of feedback systems, and classical root locus and frequency-response design approaches will be covered. Discrete-time/sampled data control systems are introduced, along with emulation design methods. The unit concludes with design methods based on state-space models, along with the concepts of canonical state-space representations, controllability and observability.

Problem-based learning - You will complete regular problem-based computational assignments as well as an open-ended design project.

Active learning - Throughout the workshops, you will participate in activities, such as polling, group-based problem-solving and computational tasks, to develop your conceptual understanding and computational skills.

Simulation or virtual practice - Computational tools are used extensively to simulate, analyse and design control systems.

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.