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This subject provides an introduction to automatic control systems, with an emphasis on classical techniques for the analysis and design of feedback interconnections. The main challenge in automatic control is to achieve desired performance in the presence of uncertainty about the system dynamics and the operating environment. Feedback control is one way to deal with modelling uncertainty in the design of engineering systems. This subject is a core requirement in the Master of Engineering (Electrical, Electrical with Business, Mechanical, Mechanical with Business and Mechatronics).
* Modelling for control, linearization, relationships between time and frequency domain models of linear time-invariant dynamical systems, and the structure, stability, performance, and robustness of feedback interconnections;
* Frequency-domain analysis and design, Nyquist and Bode plots, gain and phase margins, loop-shaping with proportional, integral, lead, and lag compensators, loop delays, and fundamental limitations in design; and
* Actuator constraints and anti-windup compensation.
This material is complemented by the use of software tools (e.g. MATLAB/Simulink) for computation and simulation, and exposure to control system hardware in the laboratory.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILOs)
Having completed this subject the student should be able to:
- Qualitatively and quantitatively describe the role of feedback in engineering systems;
- Apply classical frequency-domain techniques in the analysis and design of linear feedback control systems in a variety of contexts; and
- Use software tools to simulate and design automatic control systems.
Upon completion of this subject, students will have developed the following skills:
- Ability to apply knowledge of basic science and engineering fundamentals;
- In-depth technical competence in at least one engineering discipline;
- Ability to undertake problem identification, formulation and solution;
- Ability to utilise a systems approach to design and operational performance;
- Capacity for independent critical thought, rational inquiry and self-directed learning;
- Ability to communicate with the engineering team and with the community at large.
Last updated: 3 November 2022