Subspace predictive repetitive control with reduced-dimension identification for wind turbine individual pitch control

S.T. Navalkar, J.W. Wingerden, van, T.A.E. Oomen

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Abstract

Individual pitch control (IPC) is gaining increasing acceptance as a method for mitigation of periodic disturbances in wind turbines. This paper aims at formulating a repetitive control (RC) methodology capable of adapting online to changing turbine dynamics. This is achieved by performing system identification in a reduced-dimensional space using basis functions and using the identified parameters to synthesise an RC law to reject periodic disturbances: this methodology is termed Subspace Predictive Repetitive Control (SPRC). The method is tested on an industrial simulation test bench and is able to identify and perform load control on the turbine without affecting its power production.
Original languageEnglish
Title of host publicationProceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa
Place of PublicationOxford
PublisherPergamon
Pages6436-6441
Number of pages6
ISBN (Print)9783902823625
DOIs
Publication statusPublished - 2014
Event19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress) - Cape Town International Convention Centre, Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014
Conference number: 19
http://www.ifac2014.org

Publication series

NameIFAC Proceedings Volume
Number3
Volume47

Conference

Conference19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress)
Abbreviated titleIFAC 2014
Country/TerritorySouth Africa
CityCape Town
Period24/08/1429/08/14
Internet address

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