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A Robust Model Predictive Control Framework for Diesel Generators
Department of Mechanical Engineering, The University of Melbourne, Australia.
Department of Mechanical Engineering, The University of Melbourne, Australia.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
Department of Mechanical Engineering, The University of Melbourne, Australia.
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2014 (English)In: Proceedings of 19th IFAC World Congress / [ed] Edward Boje; Xiaohua Xia, International Federation of Automatic Control (IFAC) , 2014, Vol. 47, 11848-11853 p.Conference paper (Refereed)
Abstract [en]

A constraint tightened linear-time-varying MPC framework is proposed with applications in power tracking for variable and fixed speed generators. Current constraint tightening approaches are extended to allow for practical applications where future system representations are unknown. The resulting control structure is shown to be robustly feasible under given conditions. Knowledge about the geometry of system constraints is exploited to obtain a computationally efficient method of computing tightened sets online. A simulation study is presented demonstrating the ability of the controller to handle modelling error and demonstrate tracking of a commanded power profile.

Place, publisher, year, edition, pages
International Federation of Automatic Control (IFAC) , 2014. Vol. 47, 11848-11853 p.
Series
IFAC Proceedings Volumes, ISSN 1474-6670 ; 3
Keyword [en]
Predictive control; Robust Control; Engine Control; Diesel engines
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-137727DOI: 10.3182/20140824-6-ZA-1003.02120ISBN: 978-3-902823-62-5 (print)OAI: oai:DiVA.org:liu-137727DiVA: diva2:1105221
Conference
19th IFAC World Congress, Cape Town, South Africa, 24-29 August 2014
Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-02Bibliographically approved

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CiteExportLink to record
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