Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFU |
Texto Completo: | https://repositorio.ufu.br/handle/123456789/31221 https://doi.org/10.14393/ufu.te.2020.494 |
Resumo: | The present work is dedicated to synthesis of controllers used in supercritical rotors supported by magnetic bearings. First, a numerical/computational model was built in a MATLAB ®/Simulink environment as based on the specifications provided by the bench manufacturer. Then in conjunction with the experimental validation process, a representative model of dynamic behavior of the real physical system resulted. Next step was the design of three controllers for the system, namelly, the PID controller based on the characteristics provided by the manufacturer, the adaptive PID which is based on the update of its reference, and the PID Fuzzy, which permits the adjustment of the controller’s gains. The three controllers were evaluated based on their transfer functions in closed loop and from the point of view of their unbalance responce, which was conducted according to the guidelines of the API 684 standard and classified according to the criteria defined in the ISO 14839-2 standard . Considering the obteined results from the three previous controllers, it was possible to analyze the design difficulties and create the so-called Neuro Fuzzy Robust controller, which is designed so that the uncertainties found in the system are taken into account. It is worth mentioning that these uncertainties were not considered in the previous controllers. The proposed new controller was evaluated by using the same criteria applied to the previous controllers. Based on the obteined results, it was possible to point out that the main contribution of this research work is the systematization of the use of an optimal-robust Neuro Fuzzy controller for the study and design of supercritical rotors supported by magnetic bearings |
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Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto RobustoDesign and optimization of controllers for rotors with magnetic bearings: Robust DesignControle RobustoRobust ControlAMBPIDVibraçõesVibrationNeuro-FuzzyCNPQ::ENGENHARIASRotoresMancais - IndústriaThe present work is dedicated to synthesis of controllers used in supercritical rotors supported by magnetic bearings. First, a numerical/computational model was built in a MATLAB ®/Simulink environment as based on the specifications provided by the bench manufacturer. Then in conjunction with the experimental validation process, a representative model of dynamic behavior of the real physical system resulted. Next step was the design of three controllers for the system, namelly, the PID controller based on the characteristics provided by the manufacturer, the adaptive PID which is based on the update of its reference, and the PID Fuzzy, which permits the adjustment of the controller’s gains. The three controllers were evaluated based on their transfer functions in closed loop and from the point of view of their unbalance responce, which was conducted according to the guidelines of the API 684 standard and classified according to the criteria defined in the ISO 14839-2 standard . Considering the obteined results from the three previous controllers, it was possible to analyze the design difficulties and create the so-called Neuro Fuzzy Robust controller, which is designed so that the uncertainties found in the system are taken into account. It is worth mentioning that these uncertainties were not considered in the previous controllers. The proposed new controller was evaluated by using the same criteria applied to the previous controllers. Based on the obteined results, it was possible to point out that the main contribution of this research work is the systematization of the use of an optimal-robust Neuro Fuzzy controller for the study and design of supercritical rotors supported by magnetic bearingsTese (Doutorado)O presente trabalho é dedicado à síntese de controladores utilizados em rotores supercríticos suportados por mancais magnéticos. Em primeiro lugar, construiu-se um modelo numérico/computacional em ambiente MATLAB®/Simulink com base nas especificações fornecidas pelo fabricante da bancada. Dai, em conjunto com o processo de validação experimental correspondente, resultou um modelo representativo do comportamento dinâmico do sistema físico real. O passo seguinte foi o projeto de 3 controladores para o sistema, a saber, o PID baseado nas características fornecidas pelo fabricante, o PID adaptativo que tem por premissa a atualização da sua referência e o PID Fuzzy, que proporciona o ajuste dos ganhos do controlador. Todos foram avaliados a partir de suas funções de transferência em malha fechada e sob o ponto de vista da sua reposta ao desbalanceamento, sendo esta conduzida de acordo com as diretrizes da norma API 684 e classificada com base nos critérios definidos na norma ISO 14839-2. Com base nestes resultados, foi possível analisar as dificuldades de projeto dos controladores e criar, então, o controlador Neuro Fuzzy Robusto, que teve por objetivo considerar as incertezas presentes no sistema e que não foram consideradas nos controladores anteriores. O novo controlador proposto foi avaliado utilizando os mesmos critérios aplicados aos três primeiros controladores. Com base nos resultados obtidos, é possível afirmar que a principal contribuição deste trabalho é caracterizada pela sistematização da utilização de um controlador Neuro Fuzzy ótimo-robusto para o estudo e projeto de rotores supercríticos suportados por mancais magnéticosUniversidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia MecânicaSteffen Júnior, Valderhttp://lattes.cnpq.br/6838375689601075Molina, Fabian Andres LaraLopes Junior, VicenteLobato, Fran SergioCavalini Junior, Aldemir AparecidoCarvalho, Felipe Carmo2021-02-08T12:12:48Z2021-02-08T12:12:48Z2020-07-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfCARVALHO, Felipe Carmo. Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto. 2020. 151 f. Tese (Doutorado em Engenharia Mecânica) - Universidade Federal de Uberlândia, Uberlândia, 2021. DOI https://doi.org/10.14393/ufu.te.2020.494https://repositorio.ufu.br/handle/123456789/31221https://doi.org/10.14393/ufu.te.2020.494porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2021-10-27T20:15:33Zoai:repositorio.ufu.br:123456789/31221Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2021-10-27T20:15:33Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto Design and optimization of controllers for rotors with magnetic bearings: Robust Design |
title |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto |
spellingShingle |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto Carvalho, Felipe Carmo Controle Robusto Robust Control AMB PID Vibrações Vibration Neuro-Fuzzy CNPQ::ENGENHARIAS Rotores Mancais - Indústria |
title_short |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto |
title_full |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto |
title_fullStr |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto |
title_full_unstemmed |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto |
title_sort |
Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto |
author |
Carvalho, Felipe Carmo |
author_facet |
Carvalho, Felipe Carmo |
author_role |
author |
dc.contributor.none.fl_str_mv |
Steffen Júnior, Valder http://lattes.cnpq.br/6838375689601075 Molina, Fabian Andres Lara Lopes Junior, Vicente Lobato, Fran Sergio Cavalini Junior, Aldemir Aparecido |
dc.contributor.author.fl_str_mv |
Carvalho, Felipe Carmo |
dc.subject.por.fl_str_mv |
Controle Robusto Robust Control AMB PID Vibrações Vibration Neuro-Fuzzy CNPQ::ENGENHARIAS Rotores Mancais - Indústria |
topic |
Controle Robusto Robust Control AMB PID Vibrações Vibration Neuro-Fuzzy CNPQ::ENGENHARIAS Rotores Mancais - Indústria |
description |
The present work is dedicated to synthesis of controllers used in supercritical rotors supported by magnetic bearings. First, a numerical/computational model was built in a MATLAB ®/Simulink environment as based on the specifications provided by the bench manufacturer. Then in conjunction with the experimental validation process, a representative model of dynamic behavior of the real physical system resulted. Next step was the design of three controllers for the system, namelly, the PID controller based on the characteristics provided by the manufacturer, the adaptive PID which is based on the update of its reference, and the PID Fuzzy, which permits the adjustment of the controller’s gains. The three controllers were evaluated based on their transfer functions in closed loop and from the point of view of their unbalance responce, which was conducted according to the guidelines of the API 684 standard and classified according to the criteria defined in the ISO 14839-2 standard . Considering the obteined results from the three previous controllers, it was possible to analyze the design difficulties and create the so-called Neuro Fuzzy Robust controller, which is designed so that the uncertainties found in the system are taken into account. It is worth mentioning that these uncertainties were not considered in the previous controllers. The proposed new controller was evaluated by using the same criteria applied to the previous controllers. Based on the obteined results, it was possible to point out that the main contribution of this research work is the systematization of the use of an optimal-robust Neuro Fuzzy controller for the study and design of supercritical rotors supported by magnetic bearings |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-27 2021-02-08T12:12:48Z 2021-02-08T12:12:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
CARVALHO, Felipe Carmo. Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto. 2020. 151 f. Tese (Doutorado em Engenharia Mecânica) - Universidade Federal de Uberlândia, Uberlândia, 2021. DOI https://doi.org/10.14393/ufu.te.2020.494 https://repositorio.ufu.br/handle/123456789/31221 https://doi.org/10.14393/ufu.te.2020.494 |
identifier_str_mv |
CARVALHO, Felipe Carmo. Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto. 2020. 151 f. Tese (Doutorado em Engenharia Mecânica) - Universidade Federal de Uberlândia, Uberlândia, 2021. DOI https://doi.org/10.14393/ufu.te.2020.494 |
url |
https://repositorio.ufu.br/handle/123456789/31221 https://doi.org/10.14393/ufu.te.2020.494 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia Brasil Programa de Pós-graduação em Engenharia Mecânica |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia Brasil Programa de Pós-graduação em Engenharia Mecânica |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFU instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
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UFU |
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UFU |
reponame_str |
Repositório Institucional da UFU |
collection |
Repositório Institucional da UFU |
repository.name.fl_str_mv |
Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
diinf@dirbi.ufu.br |
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1813711493422645248 |