Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s40430-022-04002-y http://hdl.handle.net/11449/249555 |
Resumo: | A proposed particle swarm optimization algorithm is analyzed to adapt the controller to an inverted pendulum system, where the physical parameters of the system will be changed throughout for iterations. The parameters to be changed will be the friction coefficients, the length of the pendulum rod, and the mass of the car at different times of the iterations. The five populations used to evaluate the performance of the algorithm in the adaptation of control vectors were generated in different ways using a random normal distribution, the linear–quadratic regulatory technique, and the description of the linear–quadratic regulatory technique in linear matrix inequality, thus occupying different regions of the search space and having different characteristics. The study shows that the proposed algorithm adapts the control vector independent of the origin of the populations and without knowledge of the changes in the system, thus demonstrating the contribution of this work. |
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Repositório Institucional da UNESP |
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Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the systemControlLinear quadratic regulatorParticle swarm optimizationA proposed particle swarm optimization algorithm is analyzed to adapt the controller to an inverted pendulum system, where the physical parameters of the system will be changed throughout for iterations. The parameters to be changed will be the friction coefficients, the length of the pendulum rod, and the mass of the car at different times of the iterations. The five populations used to evaluate the performance of the algorithm in the adaptation of control vectors were generated in different ways using a random normal distribution, the linear–quadratic regulatory technique, and the description of the linear–quadratic regulatory technique in linear matrix inequality, thus occupying different regions of the search space and having different characteristics. The study shows that the proposed algorithm adapts the control vector independent of the origin of the populations and without knowledge of the changes in the system, thus demonstrating the contribution of this work.Mechanical Engineering Universidade Estadual Paulista “Julio de Mesquita Filho”, Brasil Sul, São PauloDepartment of Engineering Physics and Mathematics Chemistry Institute Universidade Estadual Paulista “Julio de Mesquita Filho”, Rua Prof. Francisco Degni, 55 - Quitandinha, São PauloMechanical Engineering Universidade Estadual Paulista “Julio de Mesquita Filho”, Brasil Sul, São PauloDepartment of Engineering Physics and Mathematics Chemistry Institute Universidade Estadual Paulista “Julio de Mesquita Filho”, Rua Prof. Francisco Degni, 55 - Quitandinha, São PauloUniversidade Estadual Paulista (UNESP)Karmouche, Diogo Cunha José [UNESP]Chavarette, Fábio Roberto [UNESP]de Abreu, Gustavo Luiz Chagas Manhães [UNESP]Gonçalves, Aparecido Carlos [UNESP]2023-07-29T16:02:58Z2023-07-29T16:02:58Z2023-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s40430-022-04002-yJournal of the Brazilian Society of Mechanical Sciences and Engineering, v. 45, n. 2, 2023.1806-36911678-5878http://hdl.handle.net/11449/24955510.1007/s40430-022-04002-y2-s2.0-85146261872Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of the Brazilian Society of Mechanical Sciences and Engineeringinfo:eu-repo/semantics/openAccess2023-07-29T16:02:58Zoai:repositorio.unesp.br:11449/249555Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T16:02:58Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system |
title |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system |
spellingShingle |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system Karmouche, Diogo Cunha José [UNESP] Control Linear quadratic regulator Particle swarm optimization |
title_short |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system |
title_full |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system |
title_fullStr |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system |
title_full_unstemmed |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system |
title_sort |
Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system |
author |
Karmouche, Diogo Cunha José [UNESP] |
author_facet |
Karmouche, Diogo Cunha José [UNESP] Chavarette, Fábio Roberto [UNESP] de Abreu, Gustavo Luiz Chagas Manhães [UNESP] Gonçalves, Aparecido Carlos [UNESP] |
author_role |
author |
author2 |
Chavarette, Fábio Roberto [UNESP] de Abreu, Gustavo Luiz Chagas Manhães [UNESP] Gonçalves, Aparecido Carlos [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Karmouche, Diogo Cunha José [UNESP] Chavarette, Fábio Roberto [UNESP] de Abreu, Gustavo Luiz Chagas Manhães [UNESP] Gonçalves, Aparecido Carlos [UNESP] |
dc.subject.por.fl_str_mv |
Control Linear quadratic regulator Particle swarm optimization |
topic |
Control Linear quadratic regulator Particle swarm optimization |
description |
A proposed particle swarm optimization algorithm is analyzed to adapt the controller to an inverted pendulum system, where the physical parameters of the system will be changed throughout for iterations. The parameters to be changed will be the friction coefficients, the length of the pendulum rod, and the mass of the car at different times of the iterations. The five populations used to evaluate the performance of the algorithm in the adaptation of control vectors were generated in different ways using a random normal distribution, the linear–quadratic regulatory technique, and the description of the linear–quadratic regulatory technique in linear matrix inequality, thus occupying different regions of the search space and having different characteristics. The study shows that the proposed algorithm adapts the control vector independent of the origin of the populations and without knowledge of the changes in the system, thus demonstrating the contribution of this work. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T16:02:58Z 2023-07-29T16:02:58Z 2023-02-01 |
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://dx.doi.org/10.1007/s40430-022-04002-y Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 45, n. 2, 2023. 1806-3691 1678-5878 http://hdl.handle.net/11449/249555 10.1007/s40430-022-04002-y 2-s2.0-85146261872 |
url |
http://dx.doi.org/10.1007/s40430-022-04002-y http://hdl.handle.net/11449/249555 |
identifier_str_mv |
Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 45, n. 2, 2023. 1806-3691 1678-5878 10.1007/s40430-022-04002-y 2-s2.0-85146261872 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of the Brazilian Society of Mechanical Sciences and Engineering |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965397420605440 |