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Neuro-fuzzy control of structures with MR dampers

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Resumo:Over the last decades, soft computing based controllers have being widely explored as an alternative to conventional control systems in many engineering applications. The ability of Intelligent and adaptive control systems to deal with uncertain systems and to change the controller behavior at different operating conditions constitute decisive advantages over conventional control systems that allows for the development of robust controllers for complex vibration engineering problems. In this regard, this paper aims to analyse the performance of a neuro-fuzzy controller in reducing seismic-induced vibrations in building structures a using a MR damper. The plant is a three degree-of-freedom system, which represent a three-story shear building structure. The semi-active control system is derived from an optimal controller. This controller is used to command a MR damper located between the ground and the first floor, i. e., in a non-collocated configuration. The data obtained from the optimal controller is used as a reference to train a fuzzy based controller via an Adaptive Neuro-Fuzzy Inference System (ANFIS). The uncontrolled response is compared with passive and semi-active controlled responses in order to assess the effectiveness of the proposed neuro-fuzzy controller.
Autores principais:Braz-César, Manuel
Outros Autores:Barros, Rui
Assunto:Semi-active control Fuzzy control Neuro-fuzzy MR dampers Seismic response
Ano:2015
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Braz-César, Manuel
author2 Barros, Rui
author2_role author
author_facet Braz-César, Manuel
Barros, Rui
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_str [{\"Person.name\":\"Braz-César, Manuel\",\"Person.identifier.orcid\":\"0000-0001-5640-0714\"},{\"Person.name\":\"Barros, Rui\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Braz-César, Manuel
Barros, Rui
datacite.date.Accepted.fl_str_mv 2015-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2018-05-02T08:55:28Z
datacite.date.embargoed.fl_str_mv 2018-05-02T08:55:28Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Semi-active control
Fuzzy control
Neuro-fuzzy
MR dampers
Seismic response
datacite.titles.title.fl_str_mv Neuro-fuzzy control of structures with MR dampers
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Braz-César, Manuel
Barros, Rui
dc.date.Accepted.fl_str_mv 2015-01-01T00:00:00Z
dc.date.available.fl_str_mv 2018-05-02T08:55:28Z
dc.date.embargoed.fl_str_mv 2018-05-02T08:55:28Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/17536
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Department of Automation, Biomechanics and Mechatronics
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Semi-active control
Fuzzy control
Neuro-fuzzy
MR dampers
Seismic response
dc.title.fl_str_mv Neuro-fuzzy control of structures with MR dampers
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_c94f
description Over the last decades, soft computing based controllers have being widely explored as an alternative to conventional control systems in many engineering applications. The ability of Intelligent and adaptive control systems to deal with uncertain systems and to change the controller behavior at different operating conditions constitute decisive advantages over conventional control systems that allows for the development of robust controllers for complex vibration engineering problems. In this regard, this paper aims to analyse the performance of a neuro-fuzzy controller in reducing seismic-induced vibrations in building structures a using a MR damper. The plant is a three degree-of-freedom system, which represent a three-story shear building structure. The semi-active control system is derived from an optimal controller. This controller is used to command a MR damper located between the ground and the first floor, i. e., in a non-collocated configuration. The data obtained from the optimal controller is used as a reference to train a fuzzy based controller via an Adaptive Neuro-Fuzzy Inference System (ANFIS). The uncontrolled response is compared with passive and semi-active controlled responses in order to assess the effectiveness of the proposed neuro-fuzzy controller.
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oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/17536
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person_str_mv Braz-César, Manuel
Braz-César, Manuel
https://www.ciencia-id.pt/5C10-B764-22E3
5C10-B764-22E3
http://orcid.org/0000-0001-5640-0714
0000-0001-5640-0714
Barros, Rui
publishDate 2015
publisher.none.fl_str_mv Department of Automation, Biomechanics and Mechatronics
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
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spelling engDepartment of Automation, Biomechanics and Mechatronicspt_PTOver the last decades, soft computing based controllers have being widely explored as an alternative to conventional control systems in many engineering applications. The ability of Intelligent and adaptive control systems to deal with uncertain systems and to change the controller behavior at different operating conditions constitute decisive advantages over conventional control systems that allows for the development of robust controllers for complex vibration engineering problems. In this regard, this paper aims to analyse the performance of a neuro-fuzzy controller in reducing seismic-induced vibrations in building structures a using a MR damper. The plant is a three degree-of-freedom system, which represent a three-story shear building structure. The semi-active control system is derived from an optimal controller. This controller is used to command a MR damper located between the ground and the first floor, i. e., in a non-collocated configuration. The data obtained from the optimal controller is used as a reference to train a fuzzy based controller via an Adaptive Neuro-Fuzzy Inference System (ANFIS). The uncontrolled response is compared with passive and semi-active controlled responses in order to assess the effectiveness of the proposed neuro-fuzzy controller.application/pdfpt_PTNeuro-fuzzy control of structures with MR dampersPersonalBraz-César, ManuelDSpacehttp://dspace.org/items/a99f08f6-5b97-4571-a6e4-07dee53fb527DSpacehttp://dspace.org/items/a99f08f6-5b97-4571-a6e4-07dee53fb527Braz-CésarManuelCiência IDhttps://www.ciencia-id.pt5C10-B764-22E3ORCIDhttp://orcid.org0000-0001-5640-0714Scopus Author IDhttps://www.scopus.com53663179600Barros, RuiHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-83-7283-705-92018-05-02T08:55:28Z20152015-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/17536http://purl.org/coar/access_right/c_abf2open accessSemi-active controlFuzzy controlNeuro-fuzzyMR dampersSeismic response2313810 bytesother research producthttp://purl.org/coar/resource_type/c_c94fconference object2015http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/f68c3448-c26d-4043-9bb4-55b36d19fc76/download13th Conference on DYNAMICAL SYSTEMS Theory and Applications - DSTA 2015Lodz, Poland
spellingShingle Neuro-fuzzy control of structures with MR dampers
Braz-César, Manuel
Semi-active control
Fuzzy control
Neuro-fuzzy
MR dampers
Seismic response
subject.fl_str_mv Semi-active control
Fuzzy control
Neuro-fuzzy
MR dampers
Seismic response
title Neuro-fuzzy control of structures with MR dampers
title_full Neuro-fuzzy control of structures with MR dampers
title_fullStr Neuro-fuzzy control of structures with MR dampers
title_full_unstemmed Neuro-fuzzy control of structures with MR dampers
title_short Neuro-fuzzy control of structures with MR dampers
title_sort Neuro-fuzzy control of structures with MR dampers
topic Semi-active control
Fuzzy control
Neuro-fuzzy
MR dampers
Seismic response
topic_facet Semi-active control
Fuzzy control
Neuro-fuzzy
MR dampers
Seismic response
url http://hdl.handle.net/10198/17536
visible 1