Adaptive fuzzy sliding mode control of uncertain nonlinear systems
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | |
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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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 |
_version_ |
1754824565160148992 |