Adaptive fuzzy sliding mode control of uncertain nonlinear systems

Detalhes bibliográficos
Autor(a) principal: Bessa,Wallace Moreira
Data de Publicação: 2010
Outros Autores: Barrêto,Roberto Souza Sá
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Sba: Controle & Automação Sociedade Brasileira de Automatica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592010000200002
Resumo: This paper presents a detailed discussion about the convergence properties of a variable structure controller for uncertain single-input-single-output nonlinear systems (SISO). The adopted approach is based on the sliding mode control strategy and enhanced by an adaptive fuzzy algorithm to cope with modeling inaccuracies and external disturbances that can arise. The boundedness of all closed-loop signals and the convergence properties of the tracking error are analytically proven using Lyapunov's direct method and Barbalat's lemma. This result corrects flawed conclusions previously reached in the literature. An application of this adaptive fuzzy sliding mode controller to a second-order nonlinear system is also presented. The obtained numerical results demonstrate the improved control system performance.
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spelling Adaptive fuzzy sliding mode control of uncertain nonlinear systemsNonlinear ControlSliding ModesFuzzy LogicAdaptive MethodsThis paper presents a detailed discussion about the convergence properties of a variable structure controller for uncertain single-input-single-output nonlinear systems (SISO). The adopted approach is based on the sliding mode control strategy and enhanced by an adaptive fuzzy algorithm to cope with modeling inaccuracies and external disturbances that can arise. The boundedness of all closed-loop signals and the convergence properties of the tracking error are analytically proven using Lyapunov's direct method and Barbalat's lemma. This result corrects flawed conclusions previously reached in the literature. An application of this adaptive fuzzy sliding mode controller to a second-order nonlinear system is also presented. The obtained numerical results demonstrate the improved control system performance.Sociedade Brasileira de Automática2010-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592010000200002Sba: Controle & Automação Sociedade Brasileira de Automatica v.21 n.2 2010reponame:Sba: Controle & Automação Sociedade Brasileira de Automaticainstname:Sociedade Brasileira de Automática (SBA)instacron:SBA10.1590/S0103-17592010000200002info:eu-repo/semantics/openAccessBessa,Wallace MoreiraBarrêto,Roberto Souza Sáeng2010-04-26T00:00:00Zoai:scielo:S0103-17592010000200002Revistahttps://www.sba.org.br/revista/PUBhttps://old.scielo.br/oai/scielo-oai.php||revista_sba@fee.unicamp.br1807-03450103-1759opendoar:2010-04-26T00:00Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA)false
dc.title.none.fl_str_mv Adaptive fuzzy sliding mode control of uncertain nonlinear systems
title Adaptive fuzzy sliding mode control of uncertain nonlinear systems
spellingShingle Adaptive fuzzy sliding mode control of uncertain nonlinear systems
Bessa,Wallace Moreira
Nonlinear Control
Sliding Modes
Fuzzy Logic
Adaptive Methods
title_short Adaptive fuzzy sliding mode control of uncertain nonlinear systems
title_full Adaptive fuzzy sliding mode control of uncertain nonlinear systems
title_fullStr Adaptive fuzzy sliding mode control of uncertain nonlinear systems
title_full_unstemmed Adaptive fuzzy sliding mode control of uncertain nonlinear systems
title_sort Adaptive fuzzy sliding mode control of uncertain nonlinear systems
author Bessa,Wallace Moreira
author_facet Bessa,Wallace Moreira
Barrêto,Roberto Souza Sá
author_role author
author2 Barrêto,Roberto Souza Sá
author2_role author
dc.contributor.author.fl_str_mv Bessa,Wallace Moreira
Barrêto,Roberto Souza Sá
dc.subject.por.fl_str_mv Nonlinear Control
Sliding Modes
Fuzzy Logic
Adaptive Methods
topic Nonlinear Control
Sliding Modes
Fuzzy Logic
Adaptive Methods
description This paper presents a detailed discussion about the convergence properties of a variable structure controller for uncertain single-input-single-output nonlinear systems (SISO). The adopted approach is based on the sliding mode control strategy and enhanced by an adaptive fuzzy algorithm to cope with modeling inaccuracies and external disturbances that can arise. The boundedness of all closed-loop signals and the convergence properties of the tracking error are analytically proven using Lyapunov's direct method and Barbalat's lemma. This result corrects flawed conclusions previously reached in the literature. An application of this adaptive fuzzy sliding mode controller to a second-order nonlinear system is also presented. The obtained numerical results demonstrate the improved control system performance.
publishDate 2010
dc.date.none.fl_str_mv 2010-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592010000200002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592010000200002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-17592010000200002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Automática
publisher.none.fl_str_mv Sociedade Brasileira de Automática
dc.source.none.fl_str_mv Sba: Controle & Automação Sociedade Brasileira de Automatica v.21 n.2 2010
reponame:Sba: Controle & Automação Sociedade Brasileira de Automatica
instname:Sociedade Brasileira de Automática (SBA)
instacron:SBA
instname_str Sociedade Brasileira de Automática (SBA)
instacron_str SBA
institution SBA
reponame_str Sba: Controle & Automação Sociedade Brasileira de Automatica
collection Sba: Controle & Automação Sociedade Brasileira de Automatica
repository.name.fl_str_mv Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA)
repository.mail.fl_str_mv ||revista_sba@fee.unicamp.br
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