Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis

Detalhes bibliográficos
Autor(a) principal: Tobias, Pereira
Data de Publicação: 2018
Outros Autores: Nelson, Batista, Agostinho, Fonseca, Carlos, Cardeira, Paulo, Oliveira, Rui, Melício
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/23953
https://doi.org/10.1016/j.energy.2018.06.162
Resumo: This paper details the process required to develop a linear dynamic model and control of a Darrieus wind turbine equipped with a Permanent Magnet Synchronous Generator. The turbine is to be integrated in a smart grid for future installation in urban context. An active control system is integrated in such a way that, even in the presence of non-ideal phenomena and disturbances, optimal operation is achieved. For the class of linear (or linearized) systems such optimal control solution corresponds to the Linear Quadratic Regulator (LQR). A set of tests were performed on a wind tunnel, data was acquired allowing the application of well rooted identification techniques, leading to the deduction and validation of several low order dynamic models. Optimal control solutions were implemented to guarantee that close to ideal operational conditions are maintained. As such, efficiency is improved without jeopardizing the integrity of the wind turbine in a broad set of operational conditions.
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spelling Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysisWind energyDarrieus wind turbinesPrototypeDynamic modelingSystem identificationControl analysisLQR controllerThis paper details the process required to develop a linear dynamic model and control of a Darrieus wind turbine equipped with a Permanent Magnet Synchronous Generator. The turbine is to be integrated in a smart grid for future installation in urban context. An active control system is integrated in such a way that, even in the presence of non-ideal phenomena and disturbances, optimal operation is achieved. For the class of linear (or linearized) systems such optimal control solution corresponds to the Linear Quadratic Regulator (LQR). A set of tests were performed on a wind tunnel, data was acquired allowing the application of well rooted identification techniques, leading to the deduction and validation of several low order dynamic models. Optimal control solutions were implemented to guarantee that close to ideal operational conditions are maintained. As such, efficiency is improved without jeopardizing the integrity of the wind turbine in a broad set of operational conditions.2019-01-09T15:01:23Z2019-01-092018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/23953http://hdl.handle.net/10174/23953https://doi.org/10.1016/j.energy.2018.06.162enghttps://www.sciencedirect.com/science/article/abs/pii/S0360544218312271ndndndndndruimelicio@uevora.pt489Tobias, PereiraNelson, BatistaAgostinho, FonsecaCarlos, CardeiraPaulo, OliveiraRui, Melícioinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:16:28Zoai:dspace.uevora.pt:10174/23953Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:14:39.991114Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
title Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
spellingShingle Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
Tobias, Pereira
Wind energy
Darrieus wind turbines
Prototype
Dynamic modeling
System identification
Control analysis
LQR controller
title_short Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
title_full Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
title_fullStr Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
title_full_unstemmed Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
title_sort Darrieus wind turbine prototype: dynamic modeling parameter identification and control analysis
author Tobias, Pereira
author_facet Tobias, Pereira
Nelson, Batista
Agostinho, Fonseca
Carlos, Cardeira
Paulo, Oliveira
Rui, Melício
author_role author
author2 Nelson, Batista
Agostinho, Fonseca
Carlos, Cardeira
Paulo, Oliveira
Rui, Melício
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Tobias, Pereira
Nelson, Batista
Agostinho, Fonseca
Carlos, Cardeira
Paulo, Oliveira
Rui, Melício
dc.subject.por.fl_str_mv Wind energy
Darrieus wind turbines
Prototype
Dynamic modeling
System identification
Control analysis
LQR controller
topic Wind energy
Darrieus wind turbines
Prototype
Dynamic modeling
System identification
Control analysis
LQR controller
description This paper details the process required to develop a linear dynamic model and control of a Darrieus wind turbine equipped with a Permanent Magnet Synchronous Generator. The turbine is to be integrated in a smart grid for future installation in urban context. An active control system is integrated in such a way that, even in the presence of non-ideal phenomena and disturbances, optimal operation is achieved. For the class of linear (or linearized) systems such optimal control solution corresponds to the Linear Quadratic Regulator (LQR). A set of tests were performed on a wind tunnel, data was acquired allowing the application of well rooted identification techniques, leading to the deduction and validation of several low order dynamic models. Optimal control solutions were implemented to guarantee that close to ideal operational conditions are maintained. As such, efficiency is improved without jeopardizing the integrity of the wind turbine in a broad set of operational conditions.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01T00:00:00Z
2019-01-09T15:01:23Z
2019-01-09
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/23953
http://hdl.handle.net/10174/23953
https://doi.org/10.1016/j.energy.2018.06.162
url http://hdl.handle.net/10174/23953
https://doi.org/10.1016/j.energy.2018.06.162
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S0360544218312271
nd
nd
nd
nd
nd
ruimelicio@uevora.pt
489
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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