ELEC4410
Control System Design and Management
10 Units
Available in 2014
| Callaghan Campus | Semester 2 |
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Previously offered in 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
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.
| Objectives | This course offers a more advanced discussion of control systems, introducing many modern control techniques, and implementation issues. In particular, students who successfully complete this course should have: 1. an exposure to modern control tools (e.g. observers, state variable feedback, Internal Model Control etc.) 2. a basic understanding of various factors which limit the achievable control system performance (e.g. Time delays, Non minimum phase zeros, etc.) 3. experience in several lab implementations of control systems 4. initial exposure to various control implementation issues (e.g. Sampled data systems, Actuator saturation, Anti-windup schemes etc.) 5. an initial exposure to more advanced topics (e.g. Multivariable systems, Pole Assignment, Kalman Filters) 6. some knowledge of successful modern control implementations 7. introduction to empirical modelling and system identification |
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| Content | 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 |
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| Replacing Course(s) | NA | ||||||||
| Transition | NA | ||||||||
| Industrial Experience | 0 | ||||||||
| Assumed Knowledge | ELEC4400 | ||||||||
| Modes of Delivery | Internal Mode | ||||||||
| Teaching Methods | Lecture
Laboratory Tutorial |
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| Assessment Items |
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| Contact Hours | Lecture: for 4 hour(s) per Week for Full Term Tutorial: for 2 hour(s) per Week for Full Term |
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| Timetables | 2014 Course Timetables for ELEC4410 |