ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers

Detalhes bibliográficos
Autor(a) principal: Braz-César, Manuel
Data de Publicação: 2016
Outros Autores: Barros, Rui
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/15492
Resumo: In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS. Fuzzy logic based controllers are capable to deal with non-linear or uncertain systems, which make them particularly well suited for civil engineering applications. The main objective is to develop a semi-active control system with a MR damper to reduce the response of a three degrees-of-freedom (DOFs) building structure. The control system is designed using ANFIS to optimize the fuzzy inference rule of a simple fuzzy logic controller. The results show that the proposed semi-active neuro-fuzzy based controller is effective in reducing the response of structural system.
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spelling ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampersFuzzy logicMR damperSemi-Active controlIn this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS. Fuzzy logic based controllers are capable to deal with non-linear or uncertain systems, which make them particularly well suited for civil engineering applications. The main objective is to develop a semi-active control system with a MR damper to reduce the response of a three degrees-of-freedom (DOFs) building structure. The control system is designed using ANFIS to optimize the fuzzy inference rule of a simple fuzzy logic controller. The results show that the proposed semi-active neuro-fuzzy based controller is effective in reducing the response of structural system.Biblioteca Digital do IPBBraz-César, ManuelBarros, Rui2018-01-31T10:00:00Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/15492engCésar, Manuel Braz; Barros, Rui Carneiro (2016). ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers. Open Engineering. ISSN 2391-5439. 6, p. 518-5232391-543910.1515/eng-2016-0075info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:05:26Zoai:bibliotecadigital.ipb.pt:10198/15492Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:32:09.899956Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
spellingShingle ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
Braz-César, Manuel
Fuzzy logic
MR damper
Semi-Active control
title_short ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_full ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_fullStr ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_full_unstemmed ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_sort ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
author Braz-César, Manuel
author_facet Braz-César, Manuel
Barros, Rui
author_role author
author2 Barros, Rui
author2_role author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Braz-César, Manuel
Barros, Rui
dc.subject.por.fl_str_mv Fuzzy logic
MR damper
Semi-Active control
topic Fuzzy logic
MR damper
Semi-Active control
description In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS. Fuzzy logic based controllers are capable to deal with non-linear or uncertain systems, which make them particularly well suited for civil engineering applications. The main objective is to develop a semi-active control system with a MR damper to reduce the response of a three degrees-of-freedom (DOFs) building structure. The control system is designed using ANFIS to optimize the fuzzy inference rule of a simple fuzzy logic controller. The results show that the proposed semi-active neuro-fuzzy based controller is effective in reducing the response of structural system.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2018-01-31T10:00:00Z
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://hdl.handle.net/10198/15492
url http://hdl.handle.net/10198/15492
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv César, Manuel Braz; Barros, Rui Carneiro (2016). ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers. Open Engineering. ISSN 2391-5439. 6, p. 518-523
2391-5439
10.1515/eng-2016-0075
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.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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