Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Thirty-six hours of lectures, 12 hours of tutorials, project work. |
Total Time Commitment: 120 hours
431-324 Control 1 (Classic Control) (prior to 2004 System Modelling and Control)
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/|
CoordinatorAssoc Prof Michael Cantoni
ContactMelbourne School of Engineering Office
Building 173, Grattan Street
The University of Melbourne
VIC 3010 Australia
General telephone enquiries
+ 61 3 8344 6703
+ 61 3 8344 6507
+ 61 3 9349 2182
+ 61 3 8344 7707
On completion of this subject, students should have a good understanding of state-space discrete-time controller design methods and the MATLAB software package to perform such design.
Topics include: motivation for advanced MIMO control; Industrial examples. Revision: input/output and state space models of LTI continuous-time and discrete-time systems. Discretisation of the plant with a zero order hold. Similarity coordinate transformations. Relations of transfer function and state space representations. Controllability and stabilisability. Observability and detectability. Kalman canonical decomposition. Pole-zero cancellation and relation to controllability/observability. Pole assignment by state feedback. Ackerman's formula. Observers. Separation principle. Internal model principle. Tradeoffs in controller/observer design. Optimal controller design (LQR deterministic and LQR and LQG). Optimal observer design (LQR and LQG). Connections of optimal control and estimation to pole assignment. Achieving integral action in LQR synthesis. Predictive control. Design study: an industrial application.
Project: Modelling, analysis, controller design and implementation for a particular plant (on some of our lab equipment.)
On completing this subject the student will be able to:
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Bachelor of Engineering (Biomedical)Biosignals |
Bachelor of Engineering (Computer Engineering)
Bachelor of Engineering (Electrical Engineering)
Bachelor of Engineering (Electrical) and Bachelor of Arts
Bachelor of Engineering (Electrical) and Bachelor of Commerce
Bachelor of Engineering (Electrical) and Bachelor of Laws
Bachelor of Engineering (Electrical) and Bachelor of Science
Bachelor of Engineering (EngineeringManagement) Electrical
Bachelor of Engineering (IT) Computer Engineering
Bachelor of Engineering (IT) Electrical Engineering
Bachelor of Engineering (Software Engineering)
Postgraduate Certificate in Engineering
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