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DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

Postgraduate Course: Advanced Control for Power Engineering (MSc) (PGEE11178)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe 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.
Course description - 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)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. Derive the state space model of electrical systems;
  2. Design of control systems for multivariable systems;
  3. Manage uncertainty and measurement limitations;
  4. Implement discrete-time controllers;
  5. Tune controlled systems to meet specification criteria.
Reading List
- 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.
Additional Information
Graduate Attributes and Skills Not entered
KeywordsFeedback Systems,State space modelling,feedforward loop,pole placement,observer,Kalman filter
Course organiserDr Michael Merlin
Tel: (0131 6)50 5726
Course secretaryMrs Megan Inch-Kellingray
Tel: (0131 6)51 7079
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