Nonlinear parametric predictive control. Application to a continuous stirred tank reactor

Autores
Assandri, Armando Daniel; de Prada, César; Cristea, Smaranda; Martínez, Ernesto Carlos
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a nonlinear model‐based controller based on the ideas of parametric predictive control applied to a continuous stirred tank reactor (CSTR) process unit. Controller design aims at avoiding the complexity of implementation and long computational times associated with conventional NMPC while maintaining the main advantage of taking into account process nonlinearities that are relevant for control. The design of the parametric predictive controller is based on a rather simplified process model having parameters that are instrumental in determining the required changes to the manipulated variables for error reduction. The nonlinear controller is easy to tune and can operate successfully over a wide range of operating conditions. The use of an estimator of unmeasured disturbances and process‐model mismatch further enhances the behavior of the controller.
Fil: Assandri, Armando Daniel. Universidad Nacional de San Juan; Argentina
Fil: de Prada, César. Universidad de Valladolid; España
Fil: Cristea, Smaranda. Universidad de Valladolid; España
Fil: Martínez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
Control Predictivo
Control de Procesos
Optimización
Control por Modelo Inverso
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:11336/70282
Acceder
id CONICETDig_a9a26864cf1d5fbb6c5b43030c064307
oai_identifier_str oai:ri.conicet.gov.ar:11336/70282
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Nonlinear parametric predictive control. Application to a continuous stirred tank reactorAssandri, Armando Danielde Prada, CésarCristea, SmarandaMartínez, Ernesto CarlosControl PredictivoControl de ProcesosOptimizaciónControl por Modelo Inversohttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper presents a nonlinear model‐based controller based on the ideas of parametric predictive control applied to a continuous stirred tank reactor (CSTR) process unit. Controller design aims at avoiding the complexity of implementation and long computational times associated with conventional NMPC while maintaining the main advantage of taking into account process nonlinearities that are relevant for control. The design of the parametric predictive controller is based on a rather simplified process model having parameters that are instrumental in determining the required changes to the manipulated variables for error reduction. The nonlinear controller is easy to tune and can operate successfully over a wide range of operating conditions. The use of an estimator of unmeasured disturbances and process‐model mismatch further enhances the behavior of the controller.Fil: Assandri, Armando Daniel. Universidad Nacional de San Juan; ArgentinaFil: de Prada, César. Universidad de Valladolid; EspañaFil: Cristea, Smaranda. Universidad de Valladolid; EspañaFil: Martínez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaWiley2009-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70282Assandri, Armando Daniel; de Prada, César; Cristea, Smaranda; Martínez, Ernesto Carlos; Nonlinear parametric predictive control. Application to a continuous stirred tank reactor; Wiley; Asia-pacific Journal Of Chemical Engineering; 4; 6; 11-2009; 858-8691932-2143CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/apj.331info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:09:55Zoai:ri.conicet.gov.ar:11336/70282instacron: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:34982025-10-15 15:09:56.307CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
title Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
spellingShingle Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
Assandri, Armando Daniel
Control Predictivo
Control de Procesos
Optimización
Control por Modelo Inverso
title_short Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
title_full Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
title_fullStr Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
title_full_unstemmed Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
title_sort Nonlinear parametric predictive control. Application to a continuous stirred tank reactor
dc.creator.none.fl_str_mv Assandri, Armando Daniel
de Prada, César
Cristea, Smaranda
Martínez, Ernesto Carlos
author Assandri, Armando Daniel
author_facet Assandri, Armando Daniel
de Prada, César
Cristea, Smaranda
Martínez, Ernesto Carlos
author_role author
author2 de Prada, César
Cristea, Smaranda
Martínez, Ernesto Carlos
author2_role author
author
author
dc.subject.none.fl_str_mv Control Predictivo
Control de Procesos
Optimización
Control por Modelo Inverso
topic Control Predictivo
Control de Procesos
Optimización
Control por Modelo Inverso
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a nonlinear model‐based controller based on the ideas of parametric predictive control applied to a continuous stirred tank reactor (CSTR) process unit. Controller design aims at avoiding the complexity of implementation and long computational times associated with conventional NMPC while maintaining the main advantage of taking into account process nonlinearities that are relevant for control. The design of the parametric predictive controller is based on a rather simplified process model having parameters that are instrumental in determining the required changes to the manipulated variables for error reduction. The nonlinear controller is easy to tune and can operate successfully over a wide range of operating conditions. The use of an estimator of unmeasured disturbances and process‐model mismatch further enhances the behavior of the controller.
Fil: Assandri, Armando Daniel. Universidad Nacional de San Juan; Argentina
Fil: de Prada, César. Universidad de Valladolid; España
Fil: Cristea, Smaranda. Universidad de Valladolid; España
Fil: Martínez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description This paper presents a nonlinear model‐based controller based on the ideas of parametric predictive control applied to a continuous stirred tank reactor (CSTR) process unit. Controller design aims at avoiding the complexity of implementation and long computational times associated with conventional NMPC while maintaining the main advantage of taking into account process nonlinearities that are relevant for control. The design of the parametric predictive controller is based on a rather simplified process model having parameters that are instrumental in determining the required changes to the manipulated variables for error reduction. The nonlinear controller is easy to tune and can operate successfully over a wide range of operating conditions. The use of an estimator of unmeasured disturbances and process‐model mismatch further enhances the behavior of the controller.
publishDate 2009
dc.date.none.fl_str_mv 2009-11
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/11336/70282
Assandri, Armando Daniel; de Prada, César; Cristea, Smaranda; Martínez, Ernesto Carlos; Nonlinear parametric predictive control. Application to a continuous stirred tank reactor; Wiley; Asia-pacific Journal Of Chemical Engineering; 4; 6; 11-2009; 858-869
1932-2143
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70282
identifier_str_mv Assandri, Armando Daniel; de Prada, César; Cristea, Smaranda; Martínez, Ernesto Carlos; Nonlinear parametric predictive control. Application to a continuous stirred tank reactor; Wiley; Asia-pacific Journal Of Chemical Engineering; 4; 6; 11-2009; 858-869
1932-2143
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/apj.331
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 Wiley
publisher.none.fl_str_mv Wiley
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
_version_ 1846083247518253056
score 13.22299

Publicaciones similares