431-464 Control 2 (Advanced Control) | |
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Credit Points | 12.5 |
Prerequisites | 431-324 Control 1 (Classic Control) (prior to 2004 System Modelling and Control) |
Semester | 2 (view timetable) |
Contact | Twenty-four hours of lectures, 12 hours of tutorials and 12 hours of laboratory or project work |
Subject Description | 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.) |
Generic Skills |
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Assessment | Three homework assignments. Solutions of each assignment should be less than 10 A4 pages long using 12 pt font. (15%). One mid-semester test (15%). One project consisting of a written report less than 20 A4 pages long using 12pt font (commencing at beginning of semester and due at end of semester) (10%). One written final examination three hours (60%). |
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