Mostrar el registro sencillo del ítem

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  
dc.subject
WIND ENERGY  
dc.subject
WIND TURBINE CONTROL  
dc.subject.classification
Ingeniería Eléctrica y Electrónica  
dc.subject.classification
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