Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm

Detalhes bibliográficos
Autor(a) principal: Nunes, H.G.G.
Data de Publicação: 2018
Outros Autores: Pestana, Luís, Mariano, S., Calado, M. Do Rosário
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/8219
Resumo: This paper presents a control mechanism for position control of linear switched reluctance machine (LSRM) using flower pollination algorithm (FPA). The control mechanism consists of the proportional-integral-derivative (PID) position controller. Therefore, the problem of determining the optimal values for the gains (proportional, integral and derivative) of the position controller is defined as an optimization problem that aims to obtain the optimal gains by minimizing the integral of time multiplied by absolute error (ITAE) of the position. In order to evaluate the performance of the FPA different operating scenarios were considered and the salp swarm algorithm (SSA) and multi-verse optimizer (MVO) were also implemented for results comparison. The results reveal that position control based on the optimal gains obtained by the FPA provides the smallest error, improving the dynamic performance of the LSRM
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spelling Position Control of Linear Switched Reluctance Machine using Flower Pollination AlgorithmFlower poliination algorithmLinear switched reluctance machinePID controllerPosition controlThis paper presents a control mechanism for position control of linear switched reluctance machine (LSRM) using flower pollination algorithm (FPA). The control mechanism consists of the proportional-integral-derivative (PID) position controller. Therefore, the problem of determining the optimal values for the gains (proportional, integral and derivative) of the position controller is defined as an optimization problem that aims to obtain the optimal gains by minimizing the integral of time multiplied by absolute error (ITAE) of the position. In order to evaluate the performance of the FPA different operating scenarios were considered and the salp swarm algorithm (SSA) and multi-verse optimizer (MVO) were also implemented for results comparison. The results reveal that position control based on the optimal gains obtained by the FPA provides the smallest error, improving the dynamic performance of the LSRMInstitute of Electrical and Electronics EngineersuBibliorumNunes, H.G.G.Pestana, LuísMariano, S.Calado, M. Do Rosário2020-01-10T16:54:51Z2018-09-252018-09-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8219eng10.1109/IS.2018.8710462metadata 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:RCAAP2023-12-15T09:48:04Zoai:ubibliorum.ubi.pt:10400.6/8219Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:36.343725Repositório 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 Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
title Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
spellingShingle Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
Nunes, H.G.G.
Flower poliination algorithm
Linear switched reluctance machine
PID controller
Position control
title_short Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
title_full Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
title_fullStr Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
title_full_unstemmed Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
title_sort Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm
author Nunes, H.G.G.
author_facet Nunes, H.G.G.
Pestana, Luís
Mariano, S.
Calado, M. Do Rosário
author_role author
author2 Pestana, Luís
Mariano, S.
Calado, M. Do Rosário
author2_role author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Nunes, H.G.G.
Pestana, Luís
Mariano, S.
Calado, M. Do Rosário
dc.subject.por.fl_str_mv Flower poliination algorithm
Linear switched reluctance machine
PID controller
Position control
topic Flower poliination algorithm
Linear switched reluctance machine
PID controller
Position control
description This paper presents a control mechanism for position control of linear switched reluctance machine (LSRM) using flower pollination algorithm (FPA). The control mechanism consists of the proportional-integral-derivative (PID) position controller. Therefore, the problem of determining the optimal values for the gains (proportional, integral and derivative) of the position controller is defined as an optimization problem that aims to obtain the optimal gains by minimizing the integral of time multiplied by absolute error (ITAE) of the position. In order to evaluate the performance of the FPA different operating scenarios were considered and the salp swarm algorithm (SSA) and multi-verse optimizer (MVO) were also implemented for results comparison. The results reveal that position control based on the optimal gains obtained by the FPA provides the smallest error, improving the dynamic performance of the LSRM
publishDate 2018
dc.date.none.fl_str_mv 2018-09-25
2018-09-25T00:00:00Z
2020-01-10T16:54:51Z
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/10400.6/8219
url http://hdl.handle.net/10400.6/8219
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/IS.2018.8710462
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 Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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
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