Design of fuzzy regulators with optimal initial conditions compensation
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/FUZZY.2006.1681699 http://hdl.handle.net/11449/9748 |
Resumo: | In almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadratic regulators, the initial conditions of the controller can be changed in an optimal way and they can improve the performance of the controlled system. Following this idea, a LNU-based design procedure to update the initial conditions of PI controllers, considering the nonlinear plant described by Takagi-Sugeno fuzzy models, is presented. The importance of the proposed method is that it also allows other specifications, such as, the decay rate and constraints on control input and output. The application in the control of an inverted pendulum illustrates the effectively of proposed method. |
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Design of fuzzy regulators with optimal initial conditions compensationIn almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadratic regulators, the initial conditions of the controller can be changed in an optimal way and they can improve the performance of the controlled system. Following this idea, a LNU-based design procedure to update the initial conditions of PI controllers, considering the nonlinear plant described by Takagi-Sugeno fuzzy models, is presented. The importance of the proposed method is that it also allows other specifications, such as, the decay rate and constraints on control input and output. The application in the control of an inverted pendulum illustrates the effectively of proposed method.UNESP São Paulo State Univ, Fac Engn, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, BrazilUNESP São Paulo State Univ, Fac Engn, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, BrazilIEEEUniversidade Estadual Paulista (Unesp)Teixeira, Marcelo C. M.Silva, Neusa A. P.Assuncao, EdvaldoMachado, Erica R. M. D.2014-05-20T13:29:02Z2014-05-20T13:29:02Z2006-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject84-91http://dx.doi.org/10.1109/FUZZY.2006.16816992006 IEEE International Conference on Fuzzy Systems, Vols 1-5. New York: IEEE, p. 84-91, 2006.1098-7584http://hdl.handle.net/11449/974810.1109/FUZZY.2006.1681699WOS:0002440636000148755160580142626Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2006 IEEE International Conference on Fuzzy Systems, Vols 1-50,270info:eu-repo/semantics/openAccess2021-10-23T21:41:41Zoai:repositorio.unesp.br:11449/9748Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:41Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Design of fuzzy regulators with optimal initial conditions compensation |
title |
Design of fuzzy regulators with optimal initial conditions compensation |
spellingShingle |
Design of fuzzy regulators with optimal initial conditions compensation Teixeira, Marcelo C. M. |
title_short |
Design of fuzzy regulators with optimal initial conditions compensation |
title_full |
Design of fuzzy regulators with optimal initial conditions compensation |
title_fullStr |
Design of fuzzy regulators with optimal initial conditions compensation |
title_full_unstemmed |
Design of fuzzy regulators with optimal initial conditions compensation |
title_sort |
Design of fuzzy regulators with optimal initial conditions compensation |
author |
Teixeira, Marcelo C. M. |
author_facet |
Teixeira, Marcelo C. M. Silva, Neusa A. P. Assuncao, Edvaldo Machado, Erica R. M. D. |
author_role |
author |
author2 |
Silva, Neusa A. P. Assuncao, Edvaldo Machado, Erica R. M. D. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Teixeira, Marcelo C. M. Silva, Neusa A. P. Assuncao, Edvaldo Machado, Erica R. M. D. |
description |
In almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadratic regulators, the initial conditions of the controller can be changed in an optimal way and they can improve the performance of the controlled system. Following this idea, a LNU-based design procedure to update the initial conditions of PI controllers, considering the nonlinear plant described by Takagi-Sugeno fuzzy models, is presented. The importance of the proposed method is that it also allows other specifications, such as, the decay rate and constraints on control input and output. The application in the control of an inverted pendulum illustrates the effectively of proposed method. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-01-01 2014-05-20T13:29:02Z 2014-05-20T13:29:02Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/FUZZY.2006.1681699 2006 IEEE International Conference on Fuzzy Systems, Vols 1-5. New York: IEEE, p. 84-91, 2006. 1098-7584 http://hdl.handle.net/11449/9748 10.1109/FUZZY.2006.1681699 WOS:000244063600014 8755160580142626 |
url |
http://dx.doi.org/10.1109/FUZZY.2006.1681699 http://hdl.handle.net/11449/9748 |
identifier_str_mv |
2006 IEEE International Conference on Fuzzy Systems, Vols 1-5. New York: IEEE, p. 84-91, 2006. 1098-7584 10.1109/FUZZY.2006.1681699 WOS:000244063600014 8755160580142626 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2006 IEEE International Conference on Fuzzy Systems, Vols 1-5 0,270 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
84-91 |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1797790150836617216 |