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dc.contributor.author
Bianchi, Fernando Daniel
dc.contributor.author
Sanchez Peña, Ricardo Salvador
dc.contributor.author
Guadayol, Marc
dc.date.available
2023-03-28T12:07:53Z
dc.date.issued
2012-01
dc.identifier.citation
Bianchi, Fernando Daniel; Sanchez Peña, Ricardo Salvador; Guadayol, Marc; Gain scheduled control based on high fidelity local wind turbine models; Pergamon-Elsevier Science Ltd; Renewable Energy; 37; 1; 1-2012; 233-240
dc.identifier.issn
0960-1481
dc.identifier.uri
http://hdl.handle.net/11336/191785
dc.description.abstract
A new design methodology of gain scheduled controllers for wind turbines is presented. The proposed methodology is intended to deal with multi-variable and high order models as those produced by high fidelity aeroelastic simulators. The methodology consists in interpolating the local controller outputs and does not require a uniform state definition either of the local controllers or of the linear models. This allows the design of each controller independently, an essential point in cases of high order models. An aeroelastic model of a typical commercial wind turbine is used to illustrate the methodology.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
GAIN-SCHEDULING
dc.subject
HIGH FIDELITY MODELS
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WIND ENERGY
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WIND TURBINE CONTROL
dc.subject.classification
Ingeniería Eléctrica y Electrónica
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Gain scheduled control based on high fidelity local wind turbine models
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-03-23T12:30:13Z
dc.journal.volume
37
dc.journal.number
1
dc.journal.pagination
233-240
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Bianchi, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Guadayol, Marc. No especifíca;
dc.journal.title
Renewable Energy
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.renene.2011.06.024
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