Improvements on Multiloop Control Design via Net Load Evaluation

Autores
Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The plant-wide control problem is a very important topic in process control. A particular control structure design will define (restrict) the future operability degree for the plant under study. Classical control policies (decentralized or full) are not always the best solution. In this context a systematic and generalized strategy to solve the multivariable plant-wide control problem is proposed here. The methodology called minimum square deviation (MSD) considers several points such as the optimal controlled variables (CVs) selection based on the sum of square deviation (SSD) and controller structure design supported by net load evaluation (NLE) analysis. The overall problem is combinatorial and is solved by accounting several steady-state tools and new indexes minimizing the heuristic load. Four well-known case studies are presented and other approaches taken from the literature are accounted for the sake of comparison. A robust stability test, mu-tools, is also performed for concluding about the control policies.
Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
Fil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
Materia
Plant-Wide Control
Disturbance Rejection
Controllability
Sparse Controller
Control Structure Design
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:11336/1490
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/1490
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Improvements on Multiloop Control Design via Net Load EvaluationZumoffen, David Alejandro RamonBasualdo, Marta SusanaPlant-Wide ControlDisturbance RejectionControllabilitySparse ControllerControl Structure Designhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The plant-wide control problem is a very important topic in process control. A particular control structure design will define (restrict) the future operability degree for the plant under study. Classical control policies (decentralized or full) are not always the best solution. In this context a systematic and generalized strategy to solve the multivariable plant-wide control problem is proposed here. The methodology called minimum square deviation (MSD) considers several points such as the optimal controlled variables (CVs) selection based on the sum of square deviation (SSD) and controller structure design supported by net load evaluation (NLE) analysis. The overall problem is combinatorial and is solved by accounting several steady-state tools and new indexes minimizing the heuristic load. Four well-known case studies are presented and other approaches taken from the literature are accounted for the sake of comparison. A robust stability test, mu-tools, is also performed for concluding about the control policies.Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;Fil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;Pergamon-elsevier Science Ltd2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1490Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana; Improvements on Multiloop Control Design via Net Load Evaluation; Pergamon-elsevier Science Ltd; Computers And Chemical Engineering; 50; 2-2013; 54-700098-1354http://www.sciencedirect.com/science/article/pii/S0098135412003705enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2012.11.004info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:11:30Zoai:ri.conicet.gov.ar:11336/1490instacron: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:34982025-10-22 12:11:31.24CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Improvements on Multiloop Control Design via Net Load Evaluation
title Improvements on Multiloop Control Design via Net Load Evaluation
spellingShingle Improvements on Multiloop Control Design via Net Load Evaluation
Zumoffen, David Alejandro Ramon
Plant-Wide Control
Disturbance Rejection
Controllability
Sparse Controller
Control Structure Design
title_short Improvements on Multiloop Control Design via Net Load Evaluation
title_full Improvements on Multiloop Control Design via Net Load Evaluation
title_fullStr Improvements on Multiloop Control Design via Net Load Evaluation
title_full_unstemmed Improvements on Multiloop Control Design via Net Load Evaluation
title_sort Improvements on Multiloop Control Design via Net Load Evaluation
dc.creator.none.fl_str_mv Zumoffen, David Alejandro Ramon
Basualdo, Marta Susana
author Zumoffen, David Alejandro Ramon
author_facet Zumoffen, David Alejandro Ramon
Basualdo, Marta Susana
author_role author
author2 Basualdo, Marta Susana
author2_role author
dc.subject.none.fl_str_mv Plant-Wide Control
Disturbance Rejection
Controllability
Sparse Controller
Control Structure Design
topic Plant-Wide Control
Disturbance Rejection
Controllability
Sparse Controller
Control Structure Design
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The plant-wide control problem is a very important topic in process control. A particular control structure design will define (restrict) the future operability degree for the plant under study. Classical control policies (decentralized or full) are not always the best solution. In this context a systematic and generalized strategy to solve the multivariable plant-wide control problem is proposed here. The methodology called minimum square deviation (MSD) considers several points such as the optimal controlled variables (CVs) selection based on the sum of square deviation (SSD) and controller structure design supported by net load evaluation (NLE) analysis. The overall problem is combinatorial and is solved by accounting several steady-state tools and new indexes minimizing the heuristic load. Four well-known case studies are presented and other approaches taken from the literature are accounted for the sake of comparison. A robust stability test, mu-tools, is also performed for concluding about the control policies.
Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
Fil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina;
description The plant-wide control problem is a very important topic in process control. A particular control structure design will define (restrict) the future operability degree for the plant under study. Classical control policies (decentralized or full) are not always the best solution. In this context a systematic and generalized strategy to solve the multivariable plant-wide control problem is proposed here. The methodology called minimum square deviation (MSD) considers several points such as the optimal controlled variables (CVs) selection based on the sum of square deviation (SSD) and controller structure design supported by net load evaluation (NLE) analysis. The overall problem is combinatorial and is solved by accounting several steady-state tools and new indexes minimizing the heuristic load. Four well-known case studies are presented and other approaches taken from the literature are accounted for the sake of comparison. A robust stability test, mu-tools, is also performed for concluding about the control policies.
publishDate 2013
dc.date.none.fl_str_mv 2013-02
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/11336/1490
Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana; Improvements on Multiloop Control Design via Net Load Evaluation; Pergamon-elsevier Science Ltd; Computers And Chemical Engineering; 50; 2-2013; 54-70
0098-1354
http://www.sciencedirect.com/science/article/pii/S0098135412003705
url http://hdl.handle.net/11336/1490
http://www.sciencedirect.com/science/article/pii/S0098135412003705
identifier_str_mv Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana; Improvements on Multiloop Control Design via Net Load Evaluation; Pergamon-elsevier Science Ltd; Computers And Chemical Engineering; 50; 2-2013; 54-70
0098-1354
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2012.11.004
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 Pergamon-elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-elsevier Science Ltd
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_ 1846782507592187904
score 12.982451

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