This module is not currently running in 2024 to 2025.
This course is concerned with the design of practical feedback controllers. Feedback is used in a control system to change the dynamics of the plant or process, and to reduce the sensitivity of the system to uncertainty from external signals (for example, disturbances and noise) and model uncertainty. If the performance specifications are achieved in the presence of the expected uncertainties, then the control is said to be robust.
Control Fundamentals and Modelling:
Methods for modelling engineering processes, state space representation, controllability and observability. The feedback control paradigm.
Digital Feedback Control:
Implications of digital implementation of feedback control systems. Controller Emulation Methods. Direct digital design of feedback control systems. Case study examples.
Nonlinear Control Systems:
Characteristics of nonlinear system behaviour, Phase-plane methods, Variable-structure systems and sliding-mode control. Case study examples.
Total contact hours: 38
Private study hours: 112
Total study hours: 150
Assignment (6%)
Workshop (8%)
Assignment (12%)
Assignment (6%)
Workshop (8%)
Examination (60%)
See the library reading list for this module (Canterbury)
1. Have an understanding of the factors that limit the performance of feedback control systems;
2. Be able to understand the implication of digital implementation of feedback control systems;
3. Use classical feedback control methods for design and analysis;
4. Apply appropriate system analysis tools to inform the control design process;
5. Design and analyse feedback control systems using a range of techniques;
6. Be able to design and analyse control systems using state-of-the-art software in the Matlab environment
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