Cooperative distributed MPC for tracking

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...

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Detalles Bibliográficos
Autores: Ferramosca, Antonio, Limón, Daniel, Alvarado, I., Camacho, E. F.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/25197
Acceso en línea:http://hdl.handle.net/11336/25197
Access Level:acceso abierto
Palabra clave:Model Predictive Control
Distributed Control
Cooperative Games
Setpoint Tracking
Stability
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
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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 Técnicas2024-05-08T14:05:31Zoai: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:34982024-05-08 14:05:31.962CONICET 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
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
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
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
topic Model Predictive Control
Distributed Control
Cooperative Games
Setpoint Tracking
Stability
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
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
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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 15,812429

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