Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/7062 |
Resumo: | This paper addresses the optimization of the linear switched reluctance generator with tubular topology to be applied in a sea wave energy conversion system. Two new algorithms to optimize the geometry of the generators are proposed. The algorithms are based on both particle swarm and Box´s complex optimization methods. The optimization procedures consist of a multidimensional optimal value search. First the initial variable vectors are specified throughout the feasible search space. Then, an iterative procedure is applied with the goal of finding the variable values that minimize the objective function. The proposed algorithms are suitable for the optimization problem considered since the objective function is highly nonlinear and not analytically defined, as evaluated using a finite element analysis based software, and show very good performance. A factor that characterizes the generation capabilities is also defined and the obtained optimized generators are compared. |
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7160 |
spelling |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversionBox׳s Complex MethodLinear switched reluctance generatorsMulti-objective designParticle swarm optimizationWave energy conversionThis paper addresses the optimization of the linear switched reluctance generator with tubular topology to be applied in a sea wave energy conversion system. Two new algorithms to optimize the geometry of the generators are proposed. The algorithms are based on both particle swarm and Box´s complex optimization methods. The optimization procedures consist of a multidimensional optimal value search. First the initial variable vectors are specified throughout the feasible search space. Then, an iterative procedure is applied with the goal of finding the variable values that minimize the objective function. The proposed algorithms are suitable for the optimization problem considered since the objective function is highly nonlinear and not analytically defined, as evaluated using a finite element analysis based software, and show very good performance. A factor that characterizes the generation capabilities is also defined and the obtained optimized generators are compared.ElsevieruBibliorumMendes, R.P.G.Calado, M. do RosárioMariano, S.2019-05-02T15:11:52Z2016-062016-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/7062eng2210650210.1016/j.swevo.2015.12.003metadata only accessinfo: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:RCAAP2024-11-27T12:22:29Zoai:ubibliorum.ubi.pt:10400.6/7062Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-27T12:22:29Repositório 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 |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion |
title |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion |
spellingShingle |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion Mendes, R.P.G. Box׳s Complex Method Linear switched reluctance generators Multi-objective design Particle swarm optimization Wave energy conversion |
title_short |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion |
title_full |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion |
title_fullStr |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion |
title_full_unstemmed |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion |
title_sort |
Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion |
author |
Mendes, R.P.G. |
author_facet |
Mendes, R.P.G. Calado, M. do Rosário Mariano, S. |
author_role |
author |
author2 |
Calado, M. do Rosário Mariano, S. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Mendes, R.P.G. Calado, M. do Rosário Mariano, S. |
dc.subject.por.fl_str_mv |
Box׳s Complex Method Linear switched reluctance generators Multi-objective design Particle swarm optimization Wave energy conversion |
topic |
Box׳s Complex Method Linear switched reluctance generators Multi-objective design Particle swarm optimization Wave energy conversion |
description |
This paper addresses the optimization of the linear switched reluctance generator with tubular topology to be applied in a sea wave energy conversion system. Two new algorithms to optimize the geometry of the generators are proposed. The algorithms are based on both particle swarm and Box´s complex optimization methods. The optimization procedures consist of a multidimensional optimal value search. First the initial variable vectors are specified throughout the feasible search space. Then, an iterative procedure is applied with the goal of finding the variable values that minimize the objective function. The proposed algorithms are suitable for the optimization problem considered since the objective function is highly nonlinear and not analytically defined, as evaluated using a finite element analysis based software, and show very good performance. A factor that characterizes the generation capabilities is also defined and the obtained optimized generators are compared. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06 2016-06-01T00:00:00Z 2019-05-02T15:11:52Z |
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/10400.6/7062 |
url |
http://hdl.handle.net/10400.6/7062 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
22106502 10.1016/j.swevo.2015.12.003 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817549624331730944 |