Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor

Autores
Bustos, Germán Andrés; Ferramosca, Antonio; Godoy, José Luis; González, Alejandro Hernán
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Recently, a linear Model Predictive Control (MPC) suitable for closed-loop re-identification was pro-posed, which solves the potential conflict between the persistent excitation of the system (necessary toperform a suitable identification) and the control, and guarantees recursive feasibility and attractivity ofan invariant region of the closed-loop. This approach, however, needs to be extended to account for aproper robustness to moderate-to-severe model mismatches, given that re-identifications are necessarywhen the system is not close to the operating point where the current linear model was identified. In thiswork, new results on robustness are presented, and an exhaustive application of the new MPC suitablefor closed-loop re-identification to a nonlinear polymerization reactor simulator is made to explore thedifficulties arising from a real life identification. Furthermore, several closed-loop re-identification areperformed in order to clearly show that the proposed controller provides uncorrelated input–output datasets, which together with the guaranteed stability, constitute the main controller benefit.
Fil: Bustos, Germán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Ferramosca, Antonio. Universidad Tecnológica Nacional; Argentina
Fil: Godoy, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
Model Predictive Control
Closed-Loop Identification
Polymerization Reactor
Persistent Excitation
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:11336/23810
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Application of Model predictive control suitable for closed loop re-identification to a polymerization reactorBustos, Germán AndrésFerramosca, AntonioGodoy, José LuisGonzález, Alejandro HernánModel Predictive ControlClosed-Loop IdentificationPolymerization ReactorPersistent ExcitationRecently, a linear Model Predictive Control (MPC) suitable for closed-loop re-identification was pro-posed, which solves the potential conflict between the persistent excitation of the system (necessary toperform a suitable identification) and the control, and guarantees recursive feasibility and attractivity ofan invariant region of the closed-loop. This approach, however, needs to be extended to account for aproper robustness to moderate-to-severe model mismatches, given that re-identifications are necessarywhen the system is not close to the operating point where the current linear model was identified. In thiswork, new results on robustness are presented, and an exhaustive application of the new MPC suitablefor closed-loop re-identification to a nonlinear polymerization reactor simulator is made to explore thedifficulties arising from a real life identification. Furthermore, several closed-loop re-identification areperformed in order to clearly show that the proposed controller provides uncorrelated input–output datasets, which together with the guaranteed stability, constitute the main controller benefit.Fil: Bustos, Germán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Ferramosca, Antonio. Universidad Tecnológica Nacional; ArgentinaFil: Godoy, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaElsevier2016-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23810Bustos, Germán Andrés; Ferramosca, Antonio; Godoy, José Luis; González, Alejandro Hernán; Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor; Elsevier; Journal Of Process Control; 44; 4-2016; 1-130959-1524CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S095915241630035X?via%3Dihubinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jprocont.2016.04.011info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:57Zoai:ri.conicet.gov.ar:11336/23810instacron: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:34982025-09-03 09:49:58.197CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
title Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
spellingShingle Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
Bustos, Germán Andrés
Model Predictive Control
Closed-Loop Identification
Polymerization Reactor
Persistent Excitation
title_short Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
title_full Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
title_fullStr Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
title_full_unstemmed Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
title_sort Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor
dc.creator.none.fl_str_mv Bustos, Germán Andrés
Ferramosca, Antonio
Godoy, José Luis
González, Alejandro Hernán
author Bustos, Germán Andrés
author_facet Bustos, Germán Andrés
Ferramosca, Antonio
Godoy, José Luis
González, Alejandro Hernán
author_role author
author2 Ferramosca, Antonio
Godoy, José Luis
González, Alejandro Hernán
author2_role author
author
author
dc.subject.none.fl_str_mv Model Predictive Control
Closed-Loop Identification
Polymerization Reactor
Persistent Excitation
topic Model Predictive Control
Closed-Loop Identification
Polymerization Reactor
Persistent Excitation
dc.description.none.fl_txt_mv Recently, a linear Model Predictive Control (MPC) suitable for closed-loop re-identification was pro-posed, which solves the potential conflict between the persistent excitation of the system (necessary toperform a suitable identification) and the control, and guarantees recursive feasibility and attractivity ofan invariant region of the closed-loop. This approach, however, needs to be extended to account for aproper robustness to moderate-to-severe model mismatches, given that re-identifications are necessarywhen the system is not close to the operating point where the current linear model was identified. In thiswork, new results on robustness are presented, and an exhaustive application of the new MPC suitablefor closed-loop re-identification to a nonlinear polymerization reactor simulator is made to explore thedifficulties arising from a real life identification. Furthermore, several closed-loop re-identification areperformed in order to clearly show that the proposed controller provides uncorrelated input–output datasets, which together with the guaranteed stability, constitute the main controller benefit.
Fil: Bustos, Germán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Ferramosca, Antonio. Universidad Tecnológica Nacional; Argentina
Fil: Godoy, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description Recently, a linear Model Predictive Control (MPC) suitable for closed-loop re-identification was pro-posed, which solves the potential conflict between the persistent excitation of the system (necessary toperform a suitable identification) and the control, and guarantees recursive feasibility and attractivity ofan invariant region of the closed-loop. This approach, however, needs to be extended to account for aproper robustness to moderate-to-severe model mismatches, given that re-identifications are necessarywhen the system is not close to the operating point where the current linear model was identified. In thiswork, new results on robustness are presented, and an exhaustive application of the new MPC suitablefor closed-loop re-identification to a nonlinear polymerization reactor simulator is made to explore thedifficulties arising from a real life identification. Furthermore, several closed-loop re-identification areperformed in order to clearly show that the proposed controller provides uncorrelated input–output datasets, which together with the guaranteed stability, constitute the main controller benefit.
publishDate 2016
dc.date.none.fl_str_mv 2016-04
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/11336/23810
Bustos, Germán Andrés; Ferramosca, Antonio; Godoy, José Luis; González, Alejandro Hernán; Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor; Elsevier; Journal Of Process Control; 44; 4-2016; 1-13
0959-1524
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23810
identifier_str_mv Bustos, Germán Andrés; Ferramosca, Antonio; Godoy, José Luis; González, Alejandro Hernán; Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor; Elsevier; Journal Of Process Control; 44; 4-2016; 1-13
0959-1524
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S095915241630035X?via%3Dihub
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jprocont.2016.04.011
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.13397

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