Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem

Autores
Luppi, Patricio Alfredo; Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The plantwide control (PWC) complexity increases for highly-integrated and large-scale chemical processes. This work presents a novel framework for decentralized PWC which includes: (i) the selection of the controlled variables (CVs), (ii) the pairing between the manipulated variables (MVs) and the CVs, and (iii) the determination of the controller algorithms as well as their tuning parameters for closed-loop operation. The proposal is to solve the steps (i) and (ii) simultaneously, driving the selection of the most effective PWC structure from a Pareto optimal set. Here, algorithms based only on steady-state information are considered to give a systematic procedure which tries to minimize the use of heuristic considerations. Genetic algorithms (GA) and the Hungarian algorithm (HA) are used here because they provide a good trade-off between computational effort and acceptable results. The proposed methodology is completely tested in a pulp mill benchmark and compared with a previous one.
Fil: Luppi, Patricio Alfredo. 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: Zumoffen, David Alejandro Ramon. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; 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
DECENTRALIZED CONTROL
LARGE-SCALE PROCESS
PLANTWIDE CONTROL
PULP MILL PROCESS
SYSTEMATIC METHODOLOGY
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:11336/1436
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/1436
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problemLuppi, Patricio AlfredoZumoffen, David Alejandro RamonBasualdo, Marta SusanaDECENTRALIZED CONTROLLARGE-SCALE PROCESSPLANTWIDE CONTROLPULP MILL PROCESSSYSTEMATIC METHODOLOGYhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The plantwide control (PWC) complexity increases for highly-integrated and large-scale chemical processes. This work presents a novel framework for decentralized PWC which includes: (i) the selection of the controlled variables (CVs), (ii) the pairing between the manipulated variables (MVs) and the CVs, and (iii) the determination of the controller algorithms as well as their tuning parameters for closed-loop operation. The proposal is to solve the steps (i) and (ii) simultaneously, driving the selection of the most effective PWC structure from a Pareto optimal set. Here, algorithms based only on steady-state information are considered to give a systematic procedure which tries to minimize the use of heuristic considerations. Genetic algorithms (GA) and the Hungarian algorithm (HA) are used here because they provide a good trade-off between computational effort and acceptable results. The proposed methodology is completely tested in a pulp mill benchmark and compared with a previous one.Fil: Luppi, Patricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Zumoffen, David Alejandro Ramon. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; ArgentinaFil: 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; ArgentinaPergamon-Elsevier Science Ltd2013-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1436Luppi, Patricio Alfredo; Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana; Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 52; 5-2013; 272-2850098-1354enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135413000276info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.01.010info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:51:02Zoai:ri.conicet.gov.ar:11336/1436instacron: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 11:51:02.668CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
title Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
spellingShingle Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
Luppi, Patricio Alfredo
DECENTRALIZED CONTROL
LARGE-SCALE PROCESS
PLANTWIDE CONTROL
PULP MILL PROCESS
SYSTEMATIC METHODOLOGY
title_short Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
title_full Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
title_fullStr Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
title_full_unstemmed Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
title_sort Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
dc.creator.none.fl_str_mv Luppi, Patricio Alfredo
Zumoffen, David Alejandro Ramon
Basualdo, Marta Susana
author Luppi, Patricio Alfredo
author_facet Luppi, Patricio Alfredo
Zumoffen, David Alejandro Ramon
Basualdo, Marta Susana
author_role author
author2 Zumoffen, David Alejandro Ramon
Basualdo, Marta Susana
author2_role author
author
dc.subject.none.fl_str_mv DECENTRALIZED CONTROL
LARGE-SCALE PROCESS
PLANTWIDE CONTROL
PULP MILL PROCESS
SYSTEMATIC METHODOLOGY
topic DECENTRALIZED CONTROL
LARGE-SCALE PROCESS
PLANTWIDE CONTROL
PULP MILL PROCESS
SYSTEMATIC METHODOLOGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The plantwide control (PWC) complexity increases for highly-integrated and large-scale chemical processes. This work presents a novel framework for decentralized PWC which includes: (i) the selection of the controlled variables (CVs), (ii) the pairing between the manipulated variables (MVs) and the CVs, and (iii) the determination of the controller algorithms as well as their tuning parameters for closed-loop operation. The proposal is to solve the steps (i) and (ii) simultaneously, driving the selection of the most effective PWC structure from a Pareto optimal set. Here, algorithms based only on steady-state information are considered to give a systematic procedure which tries to minimize the use of heuristic considerations. Genetic algorithms (GA) and the Hungarian algorithm (HA) are used here because they provide a good trade-off between computational effort and acceptable results. The proposed methodology is completely tested in a pulp mill benchmark and compared with a previous one.
Fil: Luppi, Patricio Alfredo. 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: Zumoffen, David Alejandro Ramon. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; 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 plantwide control (PWC) complexity increases for highly-integrated and large-scale chemical processes. This work presents a novel framework for decentralized PWC which includes: (i) the selection of the controlled variables (CVs), (ii) the pairing between the manipulated variables (MVs) and the CVs, and (iii) the determination of the controller algorithms as well as their tuning parameters for closed-loop operation. The proposal is to solve the steps (i) and (ii) simultaneously, driving the selection of the most effective PWC structure from a Pareto optimal set. Here, algorithms based only on steady-state information are considered to give a systematic procedure which tries to minimize the use of heuristic considerations. Genetic algorithms (GA) and the Hungarian algorithm (HA) are used here because they provide a good trade-off between computational effort and acceptable results. The proposed methodology is completely tested in a pulp mill benchmark and compared with a previous one.
publishDate 2013
dc.date.none.fl_str_mv 2013-05
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/11336/1436
Luppi, Patricio Alfredo; Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana; Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 52; 5-2013; 272-285
0098-1354
url http://hdl.handle.net/11336/1436
identifier_str_mv Luppi, Patricio Alfredo; Zumoffen, David Alejandro Ramon; Basualdo, Marta Susana; Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 52; 5-2013; 272-285
0098-1354
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/S0098135413000276
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.01.010
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_ 1846782194709692416
score 12.928904

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