Available in 2024
Course code

ELEC6410

Units

10 units

Level

6000 level

Course handbook

Description

This course covers both classical as well as optimal control design methods widely used in the industry. The topics include internal model control, state feedback control, noise modelling, observer design, and constrained optimal control.


Availability2024 Course Timetables

Callaghan

  • Semester 1 - 2024

Learning outcomes

On successful completion of the course students will be able to:

1. Design internal model controllers.

2. Tune controllers for optimal performance.

3. Identify noise models from experimental data.

4. Design state feedback controllers and associated observers.

5. Design optimal controllers by minimising quadratic costs.

6. Incorporate application driven linear constraints in optimal control design.

7. Implement the designed controllers in practical applications.

8. Select appropriate control system architecture for a given practical application.

9. Extend the concept learnt to design more advanced optimal control systems.


Content

  • Review of Classical Control and Modelling 
  • 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 
  • State Space models, and systems theory (controllability, observability, stability, minimal realisations) 
  • State feedback control
  • Linear observers
  • LQ Control 
  • Gaussian noise and density
  • Introduction to estimation with special cases (LS, Kalman filter)
  • Separation principle and LQG
  • Linear MPC

Requisite

If you have previously completed ELEC4410 or ENGG3440 or ENGG6440, you cannot enrol in this course.


Assumed knowledge

ENGG2440 Modelling and Control, STAT2110 Engineering Statistics and ELEC2430 Circuits and Signals.


Assessment items

Quiz: Quiz

Written Assignment: Lab Assignments

Formal Examination: Examination


Contact hours

Semester 1 - 2024 - Callaghan

Laboratory-1
  • Face to Face On Campus 2 hour(s) per week(s) for 11 week(s) starting in week 3
Lecture-1
  • Face to Face On Campus 4 hour(s) per week(s) for 13 week(s) starting in week 1
Tutorial-1
  • Face to Face On Campus 1 hour(s) per week(s) for 13 week(s) starting in week 1

Course outline