Population evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the system

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dc.contributor.authorKarmouche, Diogo Cunha José [UNESP]
dc.contributor.authorChavarette, Fábio Roberto [UNESP]
dc.contributor.authorde Abreu, Gustavo Luiz Chagas Manhães [UNESP]
dc.contributor.authorGonçalves, Aparecido Carlos [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T16:02:58Z
dc.date.available2023-07-29T16:02:58Z
dc.date.issued2023-02-01
dc.description.abstractA 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.en
dc.description.affiliationMechanical Engineering Universidade Estadual Paulista “Julio de Mesquita Filho”, Brasil Sul, São Paulo
dc.description.affiliationDepartment of Engineering Physics and Mathematics Chemistry Institute Universidade Estadual Paulista “Julio de Mesquita Filho”, Rua Prof. Francisco Degni, 55 - Quitandinha, São Paulo
dc.description.affiliationUnespMechanical Engineering Universidade Estadual Paulista “Julio de Mesquita Filho”, Brasil Sul, São Paulo
dc.description.affiliationUnespDepartment of Engineering Physics and Mathematics Chemistry Institute Universidade Estadual Paulista “Julio de Mesquita Filho”, Rua Prof. Francisco Degni, 55 - Quitandinha, São Paulo
dc.identifierhttp://dx.doi.org/10.1007/s40430-022-04002-y
dc.identifier.citationJournal of the Brazilian Society of Mechanical Sciences and Engineering, v. 45, n. 2, 2023.
dc.identifier.doi10.1007/s40430-022-04002-y
dc.identifier.issn1806-3691
dc.identifier.issn1678-5878
dc.identifier.scopus2-s2.0-85146261872
dc.identifier.urihttp://hdl.handle.net/11449/249555
dc.language.isoeng
dc.relation.ispartofJournal of the Brazilian Society of Mechanical Sciences and Engineering
dc.sourceScopus
dc.subjectControl
dc.subjectLinear quadratic regulator
dc.subjectParticle swarm optimization
dc.titlePopulation evaluation of the adapted particle swarm optimization algorithm applied for control in view of unknown parameter changes in the systemen
dc.typeArtigo
unesp.author.orcid0000-0001-9998-0376[1]
unesp.departmentEngenharia Mecânica - FEISpt
unesp.departmentMatemática - FEISpt

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Ilha Solteira - FEIS - Faculdade de Engenharia