Postgraduate Course: Advanced Control for Power Engineering (MSc) (PGEE11178)
|School||School of Engineering
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Available to all students
|Summary||The course starts with a revision of dynamic systems, in the context of electrical power systems, leading to the derivation of state space models. Criteria for system stability and observability of multivariable systems are studied.
The methods to design control structures based on feed-forward and feedback loops are presented, using techniques such as pole placement or optimal regulator methods. It develops the analytical tools for the design of appropriate controllers to improve system performance. The design of observers to supplement measurements from sensors will be also introduced. The development of the theoretical and practical frameworks around discrete-time systems will then allow the implementation of controllers on digital platforms.
The students will be asked to implement the control techniques learned during the course in Matlab / Simulink models to familiarize themselves with control dynamics and design of MIMO systems.
- Single Input Single Output systems
- Dynamic multivariable electrical systems
- State space modelling
- Controllability and observability
- Open loop control
- Feedback loop design
- Observer design
- Stochastic systems
- Robust control
- Discrete time systems and digital control
- Non-linear systems
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Not being delivered|
On completion of this course, the student will be able to:
- Derive the state space model of electrical systems;
- Design of control systems for multivariable systems;
- Manage uncertainty and measurement limitations;
- Implement discrete-time controllers;
- Tune controlled systems to meet specification criteria.
|- Gene F. Frank, Feedback Control of Dynamic Systems, 2014, Pearson|
- Gene F. Franklin, Digital Control of Dynamic Systems: United States Edition, Pearson
- Dorf, R. C. and Bishop, R. H., Modern Control Systems, 12th ed., Pearson Education, 2011, ISBN-10: 0131383108
- Kirk, Donald. Optimal Control Theory: An Introduction. New York, NY: Dover, 2004. ISBN: 9780486434841.
- Hanselman D & Littlefield B, Mastering Matlab, Prentice Hall, 2005.
- Dabney J B & Harman T L, Mastering Simulink, Prentice Hall, 2004.
- Wilkie, J, Johnson M and Katebi R, Control Engineering: An Introductory Course, McMillan (Palgrave), 2002.
- Michael Green, Linear Robust Control, Dover Publications Inc
- Ogata, K., Modern Control Engineering, 5th ed., Pearson Education, 2008, ISBN-10: 0137133375
- Nise, N. S., Control Systems Engineering, 6th ed., Willey International, 2011, ISBN-10: 0470646128
- Golnaraghi, F. and Kuo, B. C., Automatic Control Systems, 9th ed., John Wiley & Sons, 2009, ISBN-10: 0470048964
- Sigurd Skogestad and Ian Postlethwaite, 'Multivariable Feedback Control: Analysis and Design'. 2nd Edition.
|Graduate Attributes and Skills
|Keywords||Feedback Systems,State space modelling,feedforward loop,pole placement,observer,Kalman filter
|Course organiser||Dr Michael Merlin
Tel: (0131 6)50 5726
|Course secretary||Mrs Megan Inch-Kellingray
Tel: (0131 6)51 7079