Control Systems is the study of the analysis and regulation of the output behaviors of dynamical systems subject to input signals. The concepts and tools discussed in this course can be used in a wide spectrum of engineering disciplines such as mechanical, electrical, aerospace, manufacturing, and biomedical engineering. The emphasis of this course will be on the basic theories and feedback controller design methods of linear time-invariant systems.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Demonstrate systematic understanding of the principles and consequences of feedback mechanisms in dynamical systems.
- Define and explain feedback and feedforward control architecture and discuss the importance of performance, robustness and stability in control design.
- Apply linearisation techniques to nonlinear systems and perform controllability and observability analysis to linear time-invariant systems.
- Design controllers using state-feedback and output-feedback and basic linear quadratic optimality in feedback design.
- Compute gain and phase margins from Bode diagrams and Nyquist plots and understand their implications in terms of robust stability.
- Design and implement feedback controllers for real-world dynamical systems.
Other Information
Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies
Indicative Assessment
- Weekly problem set (15) [LO null]
- Lecture insight reports (10) [LO null]
- Laboratories (10) [LO null]
- Design project (25) [LO null]
- Final Exam (40) [LO null]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
12 x 2-hour lectures, 1 x 1-hour & 11 x 2-hour tutorials/computer labs/tutor consultation time.
Inherent Requirements
Information on inherent requirements for this course is currently not available.
Requisite and Incompatibility
Prescribed Texts
Karl J. Åström and Richard M. Murray, Feedback Systems -- An Introduction for Scientists and Engineers, Princeton University Press, 2008.
Assumed Knowledge
Mathematics including differential equations, complex numbers and Laplace transforms, matrices, Physics including classical mechanics and electrical circuits.Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
Units | EFTSL |
---|---|
6.00 | 0.12500 |
Course fees
- Domestic fee paying students
Year | Fee |
---|---|
2022 | $4740 |
- International fee paying students
Year | Fee |
---|---|
2022 | $6000 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
Second Semester
Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
---|---|---|---|---|---|---|
5320 | 25 Jul 2022 | 01 Aug 2022 | 31 Aug 2022 | 28 Oct 2022 | In Person | View |