Module Descriptors
CONTROL SYSTEMS DESIGN
XXAT70329
Key Facts
Faculty of Computing, Engineering and Sciences
Level 7
15 credits
Hours of Study
Scheduled Learning and Teaching Activities: 48
Independent Study Hours: 102
Total Learning Hours: 150
Assessment
- COURSEWORK weighted at 50%
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
Module Details
Module Special Admissions Requirements
None
Module Resources
Matalab, Simulink and Control toolbox.
Module Texts
R.C. Dorf and R.H. Bishop, "Modern control systems", tenth edition, Prentice Hall Publishing Company, 2004
'Variable Structure Adaptive Control of Robot Manipulators', H. Yu and S. Lloyd, Institute of Electrical and Electronic Engineers, Journal of Control Theory and Applications, pp. 167-176, Vol. 144, No. 2, 1997
"Control of Magnetic Suspension Systems Using the Energy-based Approaches", (Invited paper) Yu H, Yang T.C, Rigas D and Jayawant B.V. in IEEE International Conference on Control Applications, Glasgow, UK, September, 2002
'Iterative Learning Control of Hybrid Machine Systems', H. Yu, Proceedings of The TDU COE-UK EPSRC Workshop on Human Adaptive Mechatronics, Tokyo Denki University, Japan, 25th July 2005.
'Overview of Networks and Control', H. Yu, C. Harding, M.S. Hasan, and T.C. Yang, SISE Annual Conference, Okayama University, Okayama, Japan, 8-10 August 2005.
'Variable Structure Adaptive Control of Robot Manipulators', H. Yu and S. Lloyd, Institute of Electrical and Electronic Engineers, Journal of Control Theory and Applications, pp. 167-176, Vol. 144, No. 2, 1997
"Control of Magnetic Suspension Systems Using the Energy-based Approaches", (Invited paper) Yu H, Yang T.C, Rigas D and Jayawant B.V. in IEEE International Conference on Control Applications, Glasgow, UK, September, 2002
'Iterative Learning Control of Hybrid Machine Systems', H. Yu, Proceedings of The TDU COE-UK EPSRC Workshop on Human Adaptive Mechatronics, Tokyo Denki University, Japan, 25th July 2005.
'Overview of Networks and Control', H. Yu, C. Harding, M.S. Hasan, and T.C. Yang, SISE Annual Conference, Okayama University, Okayama, Japan, 8-10 August 2005.
Module Learning Strategies
Class attendance
- Directed learning and reading
- Use of software packages
- Lecture/laboratory/tutorial 48 hours
- Student centred learning 102 hours
- Directed learning and reading
- Use of software packages
- Lecture/laboratory/tutorial 48 hours
- Student centred learning 102 hours
Module Indicative Content
Review of classical control approaches, e.g. PID, Root locus, frequency control etc.
State-space representation/modelling, control system performance indicators, e.g. stability, controllability and observability
Systems with delay. The Smith predictor. Pole allocation using state feedback and output injection. Observer design and dynamic stabilisation.
Advanced control approaches, e.g. e.g. adaptive control, variable structure control/sliding mode control, nonlinear control, iterative learning control and networked control techniques
Case studies: modelling and control of a robot manipulator; modelling and control of an underactuated system (magnetic suspension system )
State-space representation/modelling, control system performance indicators, e.g. stability, controllability and observability
Systems with delay. The Smith predictor. Pole allocation using state feedback and output injection. Observer design and dynamic stabilisation.
Advanced control approaches, e.g. e.g. adaptive control, variable structure control/sliding mode control, nonlinear control, iterative learning control and networked control techniques
Case studies: modelling and control of a robot manipulator; modelling and control of an underactuated system (magnetic suspension system )
Module Additional Assessment Details
1) One coursework 50%, learning outcomes 1, 2, 3, and 4.
2) Two hour written examination 50%, learning outcomes 1, 2, and 3.
2) Two hour written examination 50%, learning outcomes 1, 2, and 3.