ELEC4410 examines advanced analysis and design issues in linear feedback control systems. The course provides an in-depth introduction to the fundamental concepts of linear system theory using both transfer function and state equation system descriptions. Emphasis is placed on the design of feedback controllers and state estimators for pole-placement, robust regulation, tracking and disturbance rejection, in the context of real world industrial process applications.
ELEC4410 is offered at Callaghan campus and also as an overseas study option that incorporates some course work at Callaghan and a study tour to an overseas location where students undertake the majority of their coursework. The overseas study option is delivered in intensive mode.
Enrolment for the ELEC4410 overseas study option is restricted to students who elect to go on the study tour. Manual enrolment will be required - please see the course coordinator for further details.
Not currently offered.
This Course was last offered in Semester 2 - 2017.
On successful completion of the course students will be able to:
1. Design control systems using modern control techniques (e.g. observers, state variable feedback, Internal Model Control etc.)
2. Demonstrate an understanding of various factors which limit the achievable control system performance (e.g. Time delays, Non minimum phase zeros, etc.)
3. Implement control systems in a laboratory environment
4. Understand various control implementation issues (e.g. Sampled data systems, Actuator saturation, Anti-windup schemes etc.)
5. Solve problems in more advanced topics (e.g. Multivariable systems, Kalman Filters)
6. Demonstrate knowledge in empirical modelling and system identification
1. Review of Classical Control and Modelling
2. Internal Model Control design procedure for SISO systems; (Q parameterisation, relationship to state feedback) with implications for PID, Smith predictors; and extensions to unstable plants.
3. Saturation and anti-integral windup schemes
4. State Space models, and systems theory (controllability, observability, state variable feedback, observers)
5. Design constraints in feedback control systems
6. Elements of System Identification
7. Introduction to Multivariable control (decoupling, interaction, analysis & design)
8. Introduction to optimal control and estimation.
9. Case studies
Project: Control Projects
Formal Examination: Formal Examination