An adaptive feedback linearization strategy for variable speed wind energy conversion systems

Autores
Valenciaga, Fernando; Puleston, Pablo Federico; Battaiotto, Pedro Eduardo; Mantz, Ricardo Julian
Año de publicación
2000
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a control strategy based on adaptive feedback linearization intended for variable speed grid‐connected wind energy conversion systems (WECS). The proposed adaptive control law accomplishes energy capture maximization by tracking the wind speed fluctuations. In addition, it linearizes the system even in the presence of turbine model uncertainties, allowing the closed‐loop dynamic behaviour to be determined by a simple tuning of the controller parameters. Particularly, the attention is focused on WECS with slip power recovery, which use a power conversion stage as a rotor‐controlled double‐output induction generator. However, the concepts behind the proposed control strategy are general and can be easily extended to other WECS configurations.
Fil: Valenciaga, Fernando. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Puleston, Pablo Federico. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Battaiotto, Pedro Eduardo. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina
Fil: Mantz, Ricardo Julian. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Adaptive Control
Wind Energy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/53442
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/53442
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An adaptive feedback linearization strategy for variable speed wind energy conversion systemsValenciaga, FernandoPuleston, Pablo FedericoBattaiotto, Pedro EduardoMantz, Ricardo JulianAdaptive ControlWind Energyhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents a control strategy based on adaptive feedback linearization intended for variable speed grid‐connected wind energy conversion systems (WECS). The proposed adaptive control law accomplishes energy capture maximization by tracking the wind speed fluctuations. In addition, it linearizes the system even in the presence of turbine model uncertainties, allowing the closed‐loop dynamic behaviour to be determined by a simple tuning of the controller parameters. Particularly, the attention is focused on WECS with slip power recovery, which use a power conversion stage as a rotor‐controlled double‐output induction generator. However, the concepts behind the proposed control strategy are general and can be easily extended to other WECS configurations.Fil: Valenciaga, Fernando. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Puleston, Pablo Federico. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Battaiotto, Pedro Eduardo. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; ArgentinaFil: Mantz, Ricardo Julian. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaJohn Wiley & Sons Ltd2000-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/53442Valenciaga, Fernando; Puleston, Pablo Federico; Battaiotto, Pedro Eduardo; Mantz, Ricardo Julian; An adaptive feedback linearization strategy for variable speed wind energy conversion systems; John Wiley & Sons Ltd; International Journal of Energy Research; 24; 2; 2-2000; 151-1610363-907XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/(SICI)1099-114X(200002)24:2<151::AID-ER569>3.0.CO;2-Yinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291099-114X%28200002%2924%3A2%3C151%3A%3AAID-ER569%3E3.0.CO%3B2-Yinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:36Zoai:ri.conicet.gov.ar:11336/53442instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:46:36.587CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An adaptive feedback linearization strategy for variable speed wind energy conversion systems
title An adaptive feedback linearization strategy for variable speed wind energy conversion systems
spellingShingle An adaptive feedback linearization strategy for variable speed wind energy conversion systems
Valenciaga, Fernando
Adaptive Control
Wind Energy
title_short An adaptive feedback linearization strategy for variable speed wind energy conversion systems
title_full An adaptive feedback linearization strategy for variable speed wind energy conversion systems
title_fullStr An adaptive feedback linearization strategy for variable speed wind energy conversion systems
title_full_unstemmed An adaptive feedback linearization strategy for variable speed wind energy conversion systems
title_sort An adaptive feedback linearization strategy for variable speed wind energy conversion systems
dc.creator.none.fl_str_mv Valenciaga, Fernando
Puleston, Pablo Federico
Battaiotto, Pedro Eduardo
Mantz, Ricardo Julian
author Valenciaga, Fernando
author_facet Valenciaga, Fernando
Puleston, Pablo Federico
Battaiotto, Pedro Eduardo
Mantz, Ricardo Julian
author_role author
author2 Puleston, Pablo Federico
Battaiotto, Pedro Eduardo
Mantz, Ricardo Julian
author2_role author
author
author
dc.subject.none.fl_str_mv Adaptive Control
Wind Energy
topic Adaptive Control
Wind Energy
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a control strategy based on adaptive feedback linearization intended for variable speed grid‐connected wind energy conversion systems (WECS). The proposed adaptive control law accomplishes energy capture maximization by tracking the wind speed fluctuations. In addition, it linearizes the system even in the presence of turbine model uncertainties, allowing the closed‐loop dynamic behaviour to be determined by a simple tuning of the controller parameters. Particularly, the attention is focused on WECS with slip power recovery, which use a power conversion stage as a rotor‐controlled double‐output induction generator. However, the concepts behind the proposed control strategy are general and can be easily extended to other WECS configurations.
Fil: Valenciaga, Fernando. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Puleston, Pablo Federico. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Battaiotto, Pedro Eduardo. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina
Fil: Mantz, Ricardo Julian. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description This paper presents a control strategy based on adaptive feedback linearization intended for variable speed grid‐connected wind energy conversion systems (WECS). The proposed adaptive control law accomplishes energy capture maximization by tracking the wind speed fluctuations. In addition, it linearizes the system even in the presence of turbine model uncertainties, allowing the closed‐loop dynamic behaviour to be determined by a simple tuning of the controller parameters. Particularly, the attention is focused on WECS with slip power recovery, which use a power conversion stage as a rotor‐controlled double‐output induction generator. However, the concepts behind the proposed control strategy are general and can be easily extended to other WECS configurations.
publishDate 2000
dc.date.none.fl_str_mv 2000-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/53442
Valenciaga, Fernando; Puleston, Pablo Federico; Battaiotto, Pedro Eduardo; Mantz, Ricardo Julian; An adaptive feedback linearization strategy for variable speed wind energy conversion systems; John Wiley & Sons Ltd; International Journal of Energy Research; 24; 2; 2-2000; 151-161
0363-907X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/53442
identifier_str_mv Valenciaga, Fernando; Puleston, Pablo Federico; Battaiotto, Pedro Eduardo; Mantz, Ricardo Julian; An adaptive feedback linearization strategy for variable speed wind energy conversion systems; John Wiley & Sons Ltd; International Journal of Energy Research; 24; 2; 2-2000; 151-161
0363-907X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/(SICI)1099-114X(200002)24:2<151::AID-ER569>3.0.CO;2-Y
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291099-114X%28200002%2924%3A2%3C151%3A%3AAID-ER569%3E3.0.CO%3B2-Y
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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