Predictive functional control based on fuzzy model: magnetic suspension system case study

Autores
Lepetic, Marko; Skrjanc, Igor; Chiacchiarini, Hector Gerardo; Matko, Drago
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fuzzy model based predictive functional controller (FPFC) is applied to the magnetic suspension system - a pilot plant for magnetic bearing. High quality control requirements are short settle time with a-periodical step response and zero steady-state error. Open loop unstable process was stabilised with linear lead compensator. The FPFC was used as a cascade controller. Due to some model uncertainties, the Takagi-Sugeno fuzzy model of stabilised system was obtained using fuzzy identification. Comparing to PID, it improved quality and robustness performance. With its computational efficiency, it proved to be ideal solution for high sampling frequency.
Fil: Lepetic, Marko. University of Ljubljana; Eslovenia
Fil: Skrjanc, Igor. University of Ljubljana; Eslovenia
Fil: Chiacchiarini, Hector Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
Fil: Matko, Drago. University of Ljubljana; Eslovenia
Materia
FUZZY IDENTIFICATION
PREDICTIVE CONTROL
REAL-TIME CONTROL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/104083
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Predictive functional control based on fuzzy model: magnetic suspension system case studyLepetic, MarkoSkrjanc, IgorChiacchiarini, Hector GerardoMatko, DragoFUZZY IDENTIFICATIONPREDICTIVE CONTROLREAL-TIME CONTROLhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Fuzzy model based predictive functional controller (FPFC) is applied to the magnetic suspension system - a pilot plant for magnetic bearing. High quality control requirements are short settle time with a-periodical step response and zero steady-state error. Open loop unstable process was stabilised with linear lead compensator. The FPFC was used as a cascade controller. Due to some model uncertainties, the Takagi-Sugeno fuzzy model of stabilised system was obtained using fuzzy identification. Comparing to PID, it improved quality and robustness performance. With its computational efficiency, it proved to be ideal solution for high sampling frequency.Fil: Lepetic, Marko. University of Ljubljana; EsloveniaFil: Skrjanc, Igor. University of Ljubljana; EsloveniaFil: Chiacchiarini, Hector Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; ArgentinaFil: Matko, Drago. University of Ljubljana; EsloveniaElsevier Science2003-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/104083Lepetic, Marko; Skrjanc, Igor; Chiacchiarini, Hector Gerardo; Matko, Drago; Predictive functional control based on fuzzy model: magnetic suspension system case study; Elsevier Science; Engineering Applications Of Artificial Intelligence; 16; 5-6; 8-2003; 425-4300952-1976CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S095219760300071X?via%3Dihubinfo:eu-repo/semantics/altIdentifier/doi/10.1016/S0952-1976(03)00071-Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:58Zoai:ri.conicet.gov.ar:11336/104083instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:45:59.087CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Predictive functional control based on fuzzy model: magnetic suspension system case study
title Predictive functional control based on fuzzy model: magnetic suspension system case study
spellingShingle Predictive functional control based on fuzzy model: magnetic suspension system case study
Lepetic, Marko
FUZZY IDENTIFICATION
PREDICTIVE CONTROL
REAL-TIME CONTROL
title_short Predictive functional control based on fuzzy model: magnetic suspension system case study
title_full Predictive functional control based on fuzzy model: magnetic suspension system case study
title_fullStr Predictive functional control based on fuzzy model: magnetic suspension system case study
title_full_unstemmed Predictive functional control based on fuzzy model: magnetic suspension system case study
title_sort Predictive functional control based on fuzzy model: magnetic suspension system case study
dc.creator.none.fl_str_mv Lepetic, Marko
Skrjanc, Igor
Chiacchiarini, Hector Gerardo
Matko, Drago
author Lepetic, Marko
author_facet Lepetic, Marko
Skrjanc, Igor
Chiacchiarini, Hector Gerardo
Matko, Drago
author_role author
author2 Skrjanc, Igor
Chiacchiarini, Hector Gerardo
Matko, Drago
author2_role author
author
author
dc.subject.none.fl_str_mv FUZZY IDENTIFICATION
PREDICTIVE CONTROL
REAL-TIME CONTROL
topic FUZZY IDENTIFICATION
PREDICTIVE CONTROL
REAL-TIME CONTROL
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Fuzzy model based predictive functional controller (FPFC) is applied to the magnetic suspension system - a pilot plant for magnetic bearing. High quality control requirements are short settle time with a-periodical step response and zero steady-state error. Open loop unstable process was stabilised with linear lead compensator. The FPFC was used as a cascade controller. Due to some model uncertainties, the Takagi-Sugeno fuzzy model of stabilised system was obtained using fuzzy identification. Comparing to PID, it improved quality and robustness performance. With its computational efficiency, it proved to be ideal solution for high sampling frequency.
Fil: Lepetic, Marko. University of Ljubljana; Eslovenia
Fil: Skrjanc, Igor. University of Ljubljana; Eslovenia
Fil: Chiacchiarini, Hector Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
Fil: Matko, Drago. University of Ljubljana; Eslovenia
description Fuzzy model based predictive functional controller (FPFC) is applied to the magnetic suspension system - a pilot plant for magnetic bearing. High quality control requirements are short settle time with a-periodical step response and zero steady-state error. Open loop unstable process was stabilised with linear lead compensator. The FPFC was used as a cascade controller. Due to some model uncertainties, the Takagi-Sugeno fuzzy model of stabilised system was obtained using fuzzy identification. Comparing to PID, it improved quality and robustness performance. With its computational efficiency, it proved to be ideal solution for high sampling frequency.
publishDate 2003
dc.date.none.fl_str_mv 2003-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/104083
Lepetic, Marko; Skrjanc, Igor; Chiacchiarini, Hector Gerardo; Matko, Drago; Predictive functional control based on fuzzy model: magnetic suspension system case study; Elsevier Science; Engineering Applications Of Artificial Intelligence; 16; 5-6; 8-2003; 425-430
0952-1976
CONICET Digital
CONICET
url http://hdl.handle.net/11336/104083
identifier_str_mv Lepetic, Marko; Skrjanc, Igor; Chiacchiarini, Hector Gerardo; Matko, Drago; Predictive functional control based on fuzzy model: magnetic suspension system case study; Elsevier Science; Engineering Applications Of Artificial Intelligence; 16; 5-6; 8-2003; 425-430
0952-1976
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S095219760300071X?via%3Dihub
info:eu-repo/semantics/altIdentifier/doi/10.1016/S0952-1976(03)00071-X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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