Model Predictive Control of a Nonlinear System with Known Scheduling Variable

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

View graph of relations

Model predictive control (MPC) of a class of nonlinear systems is considered in this paper. We will use Linear Parameter Varying (LPV) model of the nonlinear system. By taking the advantage of having future values of the scheduling variable, we will simplify state prediction. Consequently the control problem of the nonlinear system is simplied into a quadratic programming. Wind turbine is chosen as the case study and we choose wind speed as the scheduling variable. Wind speed is measurable ahead of the turbine, therefore the scheduling variable is known for the entire prediction horizon.
Original languageEnglish
TitleProceedings of the 17th Nordic Process Control Workshop
EditorsJohn Bagterp Jørgensen, Jakob Kjøbsted Huusom, Gürkan Sin
Place of publicationKogens Lyngby
PublisherTechnical University of Denmark
Publication date2012
Pages163-168
ISBN (print)978-87-643-0946-1
StatePublished

Conference

Conference17th Nordic Process Control Workshop
Number17
CountryDenmark
CityKongens Lyngby
Period25/01/1227/01/12
Internet addresshttp://npcw17.imm.dtu.dk/

Keywords

  • Wind turbines, Linear parameter varying, Model predictive control, Nonlinear systems, LIDAR measurements
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 6596335