Técnicas de sintonia de controlador difuso aplicado ao controle de processos

Detalhes bibliográficos
Autor(a) principal: Santos, Bruno Feldens dos
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFS
Texto Completo: http://ri.ufs.br/jspui/handle/riufs/12318
Resumo: All real systems exhibits some level of non-linearity in which conventional controllers will not always be able to provide good and accurate performance. As an alternative, fuzzy logic is a well-documented design methodology capable of dealing with such behaviors. It requires, though, adequate tuning, generally achieved via an experienced designer or by heuristics related optimization techniques. In this work, a particle swarm optimization technique is used for the tuning of a fuzzy-PI controller of a water heating system and it's performance to a conventional PI controller. A second process is also studied, of the angular position control of a propeller-attached rod. For this process, three controllers are compared, one obtained via the particle swam method, one via genetic algorithm and another conventional PID. Linearized models of the systems are obtained for the simulations. For each tuning method studied, a set of configurations are tested in order to find the one that better suits each process. The performance of the tested controllers shows high variation according to the selected optimization parameters, highlighting the significance of those and the execution of tests aimed at selecting the most adequate ones for each studied system.
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spelling Santos, Bruno Feldens dosCardoso, Carlos Alberto Villacorta2019-11-01T20:34:23Z2019-11-01T20:34:23Z2019-08-29SANTOS, Bruno Feldens dos. Técnicas de sintonia de controlador difuso aplicado ao controle de processos. 2019. 86 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Sergipe, São Cristóvão, SE, 2019.http://ri.ufs.br/jspui/handle/riufs/12318All real systems exhibits some level of non-linearity in which conventional controllers will not always be able to provide good and accurate performance. As an alternative, fuzzy logic is a well-documented design methodology capable of dealing with such behaviors. It requires, though, adequate tuning, generally achieved via an experienced designer or by heuristics related optimization techniques. In this work, a particle swarm optimization technique is used for the tuning of a fuzzy-PI controller of a water heating system and it's performance to a conventional PI controller. A second process is also studied, of the angular position control of a propeller-attached rod. For this process, three controllers are compared, one obtained via the particle swam method, one via genetic algorithm and another conventional PID. Linearized models of the systems are obtained for the simulations. For each tuning method studied, a set of configurations are tested in order to find the one that better suits each process. The performance of the tested controllers shows high variation according to the selected optimization parameters, highlighting the significance of those and the execution of tests aimed at selecting the most adequate ones for each studied system.Todos os processos reais exibem algum nível de características não-lineares no qual controladores convencionais nem sempre serão capazes de prover alto e estável desempenho. Como uma alternativa, a lógica difusa é uma metodologia já bem estabelecida na literatura capaz de lidar com tais comportamentos. Controladores que usam dessa lógica no entanto, requerem o ajuste de seus parâmetros, obtidos geralmente através da experiência de projetistas ou de técnicas de otimização com características heurísticas. Neste trabalho, um algoritmo de enxame de partículas é desenvolvido para realizar a sintonia de um controlador difuso-PI para um sistema de aquecimento de água, tem que seu desempenho comparado a sintonia PI convencional. Para cada método de sintonia estudado, um grupo de configurações são testadas de modo a avaliar seu impacto nas sintonias. Um segundo processo também é estudado, do controle da posição angular de uma haste movida por hélices, para esse processo são comparadas as sintonias de um controlador difuso-PID obtidas através do método do enxame de partículas e dos algoritmos genéticos e de um controlador PID convencional. Modelos linearizados dos processos são utilizados para a sintonia através de simulações. O desempenho dos controladores testados apresenta alta variação de acordo com as configurações utilizadas, evidenciando a grande importância destes parâmetros e de testes para seleção dos mesmos para cada sistema.Fundação de Apoio a Pesquisa e à Inovação Tecnológica do Estado de Sergipe - FAPITEC/SESão Cristóvão, SEporEngenharia elétricaControladores difusosFuzzificaçãoENGENHARIAS::ENGENHARIA ELETRICATécnicas de sintonia de controlador difuso aplicado ao controle de processosTuning methods for fuzzy controllers applied to process controlinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPós-Graduação em Engenharia ElétricaUFSreponame:Repositório Institucional da UFSinstname:Universidade Federal de Sergipe (UFS)instacron:UFSinfo:eu-repo/semantics/openAccessTEXTBRUNO_FELDENS_SANTOS.pdf.txtBRUNO_FELDENS_SANTOS.pdf.txtExtracted texttext/plain134693https://ri.ufs.br/jspui/bitstream/riufs/12318/3/BRUNO_FELDENS_SANTOS.pdf.txtb0b79c7a85f848d65666eb9c1663fa5bMD53THUMBNAILBRUNO_FELDENS_SANTOS.pdf.jpgBRUNO_FELDENS_SANTOS.pdf.jpgGenerated Thumbnailimage/jpeg1193https://ri.ufs.br/jspui/bitstream/riufs/12318/4/BRUNO_FELDENS_SANTOS.pdf.jpg00eb8feefce8db739c89908774446c99MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81475https://ri.ufs.br/jspui/bitstream/riufs/12318/1/license.txt098cbbf65c2c15e1fb2e49c5d306a44cMD51ORIGINALBRUNO_FELDENS_SANTOS.pdfBRUNO_FELDENS_SANTOS.pdfapplication/pdf2221090https://ri.ufs.br/jspui/bitstream/riufs/12318/2/BRUNO_FELDENS_SANTOS.pdfd54677c102d1941ef34d885be34da803MD52riufs/123182019-11-01 17:34:24.24oai:ufs.br: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Repositório InstitucionalPUBhttps://ri.ufs.br/oai/requestrepositorio@academico.ufs.bropendoar:2019-11-01T20:34:24Repositório Institucional da UFS - Universidade Federal de Sergipe (UFS)false
dc.title.pt_BR.fl_str_mv Técnicas de sintonia de controlador difuso aplicado ao controle de processos
dc.title.alternative.por.fl_str_mv Tuning methods for fuzzy controllers applied to process control
title Técnicas de sintonia de controlador difuso aplicado ao controle de processos
spellingShingle Técnicas de sintonia de controlador difuso aplicado ao controle de processos
Santos, Bruno Feldens dos
Engenharia elétrica
Controladores difusos
Fuzzificação
ENGENHARIAS::ENGENHARIA ELETRICA
title_short Técnicas de sintonia de controlador difuso aplicado ao controle de processos
title_full Técnicas de sintonia de controlador difuso aplicado ao controle de processos
title_fullStr Técnicas de sintonia de controlador difuso aplicado ao controle de processos
title_full_unstemmed Técnicas de sintonia de controlador difuso aplicado ao controle de processos
title_sort Técnicas de sintonia de controlador difuso aplicado ao controle de processos
author Santos, Bruno Feldens dos
author_facet Santos, Bruno Feldens dos
author_role author
dc.contributor.author.fl_str_mv Santos, Bruno Feldens dos
dc.contributor.advisor1.fl_str_mv Cardoso, Carlos Alberto Villacorta
contributor_str_mv Cardoso, Carlos Alberto Villacorta
dc.subject.por.fl_str_mv Engenharia elétrica
Controladores difusos
Fuzzificação
topic Engenharia elétrica
Controladores difusos
Fuzzificação
ENGENHARIAS::ENGENHARIA ELETRICA
dc.subject.cnpq.fl_str_mv ENGENHARIAS::ENGENHARIA ELETRICA
description All real systems exhibits some level of non-linearity in which conventional controllers will not always be able to provide good and accurate performance. As an alternative, fuzzy logic is a well-documented design methodology capable of dealing with such behaviors. It requires, though, adequate tuning, generally achieved via an experienced designer or by heuristics related optimization techniques. In this work, a particle swarm optimization technique is used for the tuning of a fuzzy-PI controller of a water heating system and it's performance to a conventional PI controller. A second process is also studied, of the angular position control of a propeller-attached rod. For this process, three controllers are compared, one obtained via the particle swam method, one via genetic algorithm and another conventional PID. Linearized models of the systems are obtained for the simulations. For each tuning method studied, a set of configurations are tested in order to find the one that better suits each process. The performance of the tested controllers shows high variation according to the selected optimization parameters, highlighting the significance of those and the execution of tests aimed at selecting the most adequate ones for each studied system.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-11-01T20:34:23Z
dc.date.available.fl_str_mv 2019-11-01T20:34:23Z
dc.date.issued.fl_str_mv 2019-08-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv SANTOS, Bruno Feldens dos. Técnicas de sintonia de controlador difuso aplicado ao controle de processos. 2019. 86 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Sergipe, São Cristóvão, SE, 2019.
dc.identifier.uri.fl_str_mv http://ri.ufs.br/jspui/handle/riufs/12318
identifier_str_mv SANTOS, Bruno Feldens dos. Técnicas de sintonia de controlador difuso aplicado ao controle de processos. 2019. 86 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Sergipe, São Cristóvão, SE, 2019.
url http://ri.ufs.br/jspui/handle/riufs/12318
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