Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems

Detalhes bibliográficos
Autor(a) principal: Beteto, Marco Antonio Leite [UNESP]
Data de Publicação: 2021
Outros Autores: Assunção, Edvaldo [UNESP], Teixeira, Marcelo Carvalho Minhoto [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/00207179.2021.1953708
http://hdl.handle.net/11449/233343
Resumo: This paper is devoted to the guaranteed cost (Formula presented.) of continuous-time linear parameter-varying (LPV) systems, considering the gain scheduling (GS) strategy and the state derivative feedback (SDF). The main contribution of the paper is to derive linear matrix inequalities (LMIs) conditions for the (Formula presented.) -SDF problem for LPV systems, taking into account the GS controller. For the good behaviour of the controller, we assume that the time-varying parameters are available for online measurement. In some cases, the (Formula presented.) -GS-SDF controller obtained high control signals, and as we intend to apply the proposed method in practical situations, we introduce the concept of (Formula presented.) -stability in the problem approach. Examples and a practical implementation show that the proposed conditions achieved good results in reducing the disturbance effect in the system. Furthermore, with the proposed methods, it is possible to guarantee the asymptotic stability and guaranteed cost (Formula presented.) minimisation.
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spelling Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems-stabilitygain scheduling (GS)Guaranteed costlinear matrix inequalities (LMIs)linear parameter-varying (LPV) systemsstate derivative feedback (SDF)This paper is devoted to the guaranteed cost (Formula presented.) of continuous-time linear parameter-varying (LPV) systems, considering the gain scheduling (GS) strategy and the state derivative feedback (SDF). The main contribution of the paper is to derive linear matrix inequalities (LMIs) conditions for the (Formula presented.) -SDF problem for LPV systems, taking into account the GS controller. For the good behaviour of the controller, we assume that the time-varying parameters are available for online measurement. In some cases, the (Formula presented.) -GS-SDF controller obtained high control signals, and as we intend to apply the proposed method in practical situations, we introduce the concept of (Formula presented.) -stability in the problem approach. Examples and a practical implementation show that the proposed conditions achieved good results in reducing the disturbance effect in the system. Furthermore, with the proposed methods, it is possible to guarantee the asymptotic stability and guaranteed cost (Formula presented.) minimisation.Department of Electrical Engineering School of Engineering São Paulo State University (Unesp)Department of Electrical Engineering School of Engineering São Paulo State University (Unesp)Universidade Estadual Paulista (UNESP)Beteto, Marco Antonio Leite [UNESP]Assunção, Edvaldo [UNESP]Teixeira, Marcelo Carvalho Minhoto [UNESP]2022-05-01T07:58:48Z2022-05-01T07:58:48Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1080/00207179.2021.1953708International Journal of Control.1366-58200020-7179http://hdl.handle.net/11449/23334310.1080/00207179.2021.19537082-s2.0-85111696697Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Controlinfo:eu-repo/semantics/openAccess2022-05-01T07:58:48Zoai:repositorio.unesp.br:11449/233343Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-05-01T07:58:48Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
title Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
spellingShingle Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
Beteto, Marco Antonio Leite [UNESP]
-stability
gain scheduling (GS)
Guaranteed cost
linear matrix inequalities (LMIs)
linear parameter-varying (LPV) systems
state derivative feedback (SDF)
title_short Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
title_full Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
title_fullStr Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
title_full_unstemmed Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
title_sort Design of an gain scheduling state derivative feedback controller for linear parameter-varying systems
author Beteto, Marco Antonio Leite [UNESP]
author_facet Beteto, Marco Antonio Leite [UNESP]
Assunção, Edvaldo [UNESP]
Teixeira, Marcelo Carvalho Minhoto [UNESP]
author_role author
author2 Assunção, Edvaldo [UNESP]
Teixeira, Marcelo Carvalho Minhoto [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Beteto, Marco Antonio Leite [UNESP]
Assunção, Edvaldo [UNESP]
Teixeira, Marcelo Carvalho Minhoto [UNESP]
dc.subject.por.fl_str_mv -stability
gain scheduling (GS)
Guaranteed cost
linear matrix inequalities (LMIs)
linear parameter-varying (LPV) systems
state derivative feedback (SDF)
topic -stability
gain scheduling (GS)
Guaranteed cost
linear matrix inequalities (LMIs)
linear parameter-varying (LPV) systems
state derivative feedback (SDF)
description This paper is devoted to the guaranteed cost (Formula presented.) of continuous-time linear parameter-varying (LPV) systems, considering the gain scheduling (GS) strategy and the state derivative feedback (SDF). The main contribution of the paper is to derive linear matrix inequalities (LMIs) conditions for the (Formula presented.) -SDF problem for LPV systems, taking into account the GS controller. For the good behaviour of the controller, we assume that the time-varying parameters are available for online measurement. In some cases, the (Formula presented.) -GS-SDF controller obtained high control signals, and as we intend to apply the proposed method in practical situations, we introduce the concept of (Formula presented.) -stability in the problem approach. Examples and a practical implementation show that the proposed conditions achieved good results in reducing the disturbance effect in the system. Furthermore, with the proposed methods, it is possible to guarantee the asymptotic stability and guaranteed cost (Formula presented.) minimisation.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-05-01T07:58:48Z
2022-05-01T07:58:48Z
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://dx.doi.org/10.1080/00207179.2021.1953708
International Journal of Control.
1366-5820
0020-7179
http://hdl.handle.net/11449/233343
10.1080/00207179.2021.1953708
2-s2.0-85111696697
url http://dx.doi.org/10.1080/00207179.2021.1953708
http://hdl.handle.net/11449/233343
identifier_str_mv International Journal of Control.
1366-5820
0020-7179
10.1080/00207179.2021.1953708
2-s2.0-85111696697
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Control
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
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
_version_ 1792962030569783296