Cooperative distributed MPC for tracking

Autores
Ferramosca, Antonio; Limón, Daniel; Alvarado, I.; Camacho, E. F.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes a cooperative distributed linear model predictive control strategy for tracking changing setpoints, applicable to any finite number of subsystems. The proposed controller is able to drive the whole system to any admissible setpoint in an admissible way, ensuring feasibility under any change of setpoint. It also provides a larger domain of attraction than standard distributed MPC for regulation, due to the particular terminal constraint. Moreover, the controller ensures convergence to the centralized optimum, even in case of coupled constraints. This is possible thanks to the warm start used to initialize the optimization Algorithm, and to the design of the cost function, which integrates a Steady State Target Optimizer (SSTO). The controller is applied to a real 4 tanks plant.
Fil: Ferramosca, Antonio. 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. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
Fil: Limón, Daniel. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
Fil: Alvarado, I.. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
Fil: Camacho, E. F.. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
Materia
Model Predictive Control
Distributed Control
Cooperative Games
Setpoint Tracking
Stability
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:11336/25197
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Cooperative distributed MPC for trackingFerramosca, AntonioLimón, DanielAlvarado, I.Camacho, E. F.Model Predictive ControlDistributed ControlCooperative GamesSetpoint TrackingStabilityhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper proposes a cooperative distributed linear model predictive control strategy for tracking changing setpoints, applicable to any finite number of subsystems. The proposed controller is able to drive the whole system to any admissible setpoint in an admissible way, ensuring feasibility under any change of setpoint. It also provides a larger domain of attraction than standard distributed MPC for regulation, due to the particular terminal constraint. Moreover, the controller ensures convergence to the centralized optimum, even in case of coupled constraints. This is possible thanks to the warm start used to initialize the optimization Algorithm, and to the design of the cost function, which integrates a Steady State Target Optimizer (SSTO). The controller is applied to a real 4 tanks plant.Fil: Ferramosca, Antonio. 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. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; EspañaFil: Limón, Daniel. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; EspañaFil: Alvarado, I.. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; EspañaFil: Camacho, E. F.. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; EspañaElsevier2013-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/25197Ferramosca, Antonio; Limón, Daniel; Alvarado, I.; Camacho, E. F.; Cooperative distributed MPC for tracking; Elsevier; Automatica; 49; 4; 4-2013; 906-9140005-1098CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0005109813000204info:eu-repo/semantics/altIdentifier/doi/10.1016/j.automatica.2013.01.019info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:40Zoai:ri.conicet.gov.ar:11336/25197instacron: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 10:01:40.925CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cooperative distributed MPC for tracking
title Cooperative distributed MPC for tracking
spellingShingle Cooperative distributed MPC for tracking
Ferramosca, Antonio
Model Predictive Control
Distributed Control
Cooperative Games
Setpoint Tracking
Stability
title_short Cooperative distributed MPC for tracking
title_full Cooperative distributed MPC for tracking
title_fullStr Cooperative distributed MPC for tracking
title_full_unstemmed Cooperative distributed MPC for tracking
title_sort Cooperative distributed MPC for tracking
dc.creator.none.fl_str_mv Ferramosca, Antonio
Limón, Daniel
Alvarado, I.
Camacho, E. F.
author Ferramosca, Antonio
author_facet Ferramosca, Antonio
Limón, Daniel
Alvarado, I.
Camacho, E. F.
author_role author
author2 Limón, Daniel
Alvarado, I.
Camacho, E. F.
author2_role author
author
author
dc.subject.none.fl_str_mv Model Predictive Control
Distributed Control
Cooperative Games
Setpoint Tracking
Stability
topic Model Predictive Control
Distributed Control
Cooperative Games
Setpoint Tracking
Stability
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper proposes a cooperative distributed linear model predictive control strategy for tracking changing setpoints, applicable to any finite number of subsystems. The proposed controller is able to drive the whole system to any admissible setpoint in an admissible way, ensuring feasibility under any change of setpoint. It also provides a larger domain of attraction than standard distributed MPC for regulation, due to the particular terminal constraint. Moreover, the controller ensures convergence to the centralized optimum, even in case of coupled constraints. This is possible thanks to the warm start used to initialize the optimization Algorithm, and to the design of the cost function, which integrates a Steady State Target Optimizer (SSTO). The controller is applied to a real 4 tanks plant.
Fil: Ferramosca, Antonio. 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. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
Fil: Limón, Daniel. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
Fil: Alvarado, I.. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
Fil: Camacho, E. F.. Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática. Escuela Superior de Ingenieros Industriales; España
description This paper proposes a cooperative distributed linear model predictive control strategy for tracking changing setpoints, applicable to any finite number of subsystems. The proposed controller is able to drive the whole system to any admissible setpoint in an admissible way, ensuring feasibility under any change of setpoint. It also provides a larger domain of attraction than standard distributed MPC for regulation, due to the particular terminal constraint. Moreover, the controller ensures convergence to the centralized optimum, even in case of coupled constraints. This is possible thanks to the warm start used to initialize the optimization Algorithm, and to the design of the cost function, which integrates a Steady State Target Optimizer (SSTO). The controller is applied to a real 4 tanks plant.
publishDate 2013
dc.date.none.fl_str_mv 2013-04
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/11336/25197
Ferramosca, Antonio; Limón, Daniel; Alvarado, I.; Camacho, E. F.; Cooperative distributed MPC for tracking; Elsevier; Automatica; 49; 4; 4-2013; 906-914
0005-1098
CONICET Digital
CONICET
url http://hdl.handle.net/11336/25197
identifier_str_mv Ferramosca, Antonio; Limón, Daniel; Alvarado, I.; Camacho, E. F.; Cooperative distributed MPC for tracking; Elsevier; Automatica; 49; 4; 4-2013; 906-914
0005-1098
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/S0005109813000204
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.automatica.2013.01.019
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
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
_version_ 1842269711160573952
score 13.13397

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