Projeto e otimização de controladores para rotores com mancais magnéticos: Projeto Robusto

Detalhes bibliográficos
Autor(a) principal: Carvalho, Felipe Carmo
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
id UFU_7ab360e1148f6042462815e8b2e57bad
oai_identifier_str oai:repositorio.ufu.br:123456789/31221
network_acronym_str UFU
network_name_str Repositório Institucional da UFU
repository_id_str
spelling 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)
instacron_str UFU
institution 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
_version_ 1813711493422645248