Performance assessment of a wind turbine using benchmark model: fuzzy controllers and discrete adaptive LQG

dc.contributor.authorMelício, Rui
dc.contributor.authorMendes, Victor
dc.date.accessioned2014-01-06T10:33:05Z
dc.date.available2014-01-06T10:33:05Z
dc.date.issued2013-12-05
dc.description.abstractHigh performance and reliability are required for wind turbines to be competitive within the electrical energy market. A key challenge for control is the wind power which is an unpredicted input and also acts as a disturbance. Performance assessments of a discrete adaptive LQG (linear quadratic-Gaussian) as well as a fuzzy PI (proportional-integral) control of publicly available wind turbine benchmark model are proposed. The main contribution involves a comparison of closed loop system performance and energy consumption achieved by both controllers. Simulation results by Matlab/Simulink are shown in order to illustrate the effectiveness of the design.por
dc.identifier.authoremailruimelicio@uevora.pt
dc.identifier.authoremailvfmendes@uevora.pt
dc.identifier.citationConference on Electronics, Telecommunications and Computers – CETC 2013, ELSEVIERpor
dc.identifier.scientificarea482por
dc.identifier.urihttp://hdl.handle.net/10174/9211
dc.identifier.withinvitedoralpresentationnaopor
dc.identifier.withoralpresentationnaopor
dc.identifier.withpostersimpor
dc.language.isoengpor
dc.publisherELSEVIERpor
dc.rightsrestrictedAccesspor
dc.subjectPerformance assessmentpor
dc.subjectwind turbinepor
dc.subjectcontrolpor
dc.subjectfuzzypor
dc.subjectlinear quadratic-gaussianpor
dc.titlePerformance assessment of a wind turbine using benchmark model: fuzzy controllers and discrete adaptive LQGpor
dc.typelecturepor

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