Oversizing Analysis in Plant-wide Control Design for Industrial Processes

Autores
Zumoffen, David Alejandro Ramon
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, an alternative plant-wide control design approach based on oversizing analysis is presented. The overall strategy can be divided in two main sequential tasks: 1- defining the optimal decentralized control structure, and 2- setting the controller interaction degree and its implementation. Both problems represent combinatorial optimizations based on multi-objective functional costs and were solved efficiently by genetic algorithms. The first task defines the optimal selection of controlled and manipulated variables simultaneously, the input-output pairing, and the overall controller dimension in a sum of square deviations context. The second task analyzes the potential improvements by defining the controller interaction degree via the net load evaluation approach. In addition, some insights are given about the feasibility (implementation load) of these control structures for a decentralized or centralized framework. The well-known Tennessee Eastman (TE) process is selected here for sake of comparison with other multivariable control designs.
Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
Materia
CONTROLLER INTERACTION DEGREE
OVERSIZING ANALYSIS
PLANT-WIDE CONTROL
SERVO-REGULATOR TRADE-OFF
SPARSE CONTROLLER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/3191
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/3191
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Oversizing Analysis in Plant-wide Control Design for Industrial ProcessesZumoffen, David Alejandro RamonCONTROLLER INTERACTION DEGREEOVERSIZING ANALYSISPLANT-WIDE CONTROLSERVO-REGULATOR TRADE-OFFSPARSE CONTROLLERhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In this work, an alternative plant-wide control design approach based on oversizing analysis is presented. The overall strategy can be divided in two main sequential tasks: 1- defining the optimal decentralized control structure, and 2- setting the controller interaction degree and its implementation. Both problems represent combinatorial optimizations based on multi-objective functional costs and were solved efficiently by genetic algorithms. The first task defines the optimal selection of controlled and manipulated variables simultaneously, the input-output pairing, and the overall controller dimension in a sum of square deviations context. The second task analyzes the potential improvements by defining the controller interaction degree via the net load evaluation approach. In addition, some insights are given about the feasibility (implementation load) of these control structures for a decentralized or centralized framework. The well-known Tennessee Eastman (TE) process is selected here for sake of comparison with other multivariable control designs.Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaElsevier2013-04-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/3191Zumoffen, David Alejandro Ramon; Oversizing Analysis in Plant-wide Control Design for Industrial Processes; Elsevier; Computers and Chemical Engineering; 59; 9-4-2013; 145-1550098-1354engSelected papers from ESCAPE-22 (European Symposium on Computer Aided Process Engineering - 22), 17-20 June 2012, London, UKinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135413000860info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.03.021info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:56:18Zoai:ri.conicet.gov.ar:11336/3191instacron: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 11:56:18.462CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Oversizing Analysis in Plant-wide Control Design for Industrial Processes
title Oversizing Analysis in Plant-wide Control Design for Industrial Processes
spellingShingle Oversizing Analysis in Plant-wide Control Design for Industrial Processes
Zumoffen, David Alejandro Ramon
CONTROLLER INTERACTION DEGREE
OVERSIZING ANALYSIS
PLANT-WIDE CONTROL
SERVO-REGULATOR TRADE-OFF
SPARSE CONTROLLER
title_short Oversizing Analysis in Plant-wide Control Design for Industrial Processes
title_full Oversizing Analysis in Plant-wide Control Design for Industrial Processes
title_fullStr Oversizing Analysis in Plant-wide Control Design for Industrial Processes
title_full_unstemmed Oversizing Analysis in Plant-wide Control Design for Industrial Processes
title_sort Oversizing Analysis in Plant-wide Control Design for Industrial Processes
dc.creator.none.fl_str_mv Zumoffen, David Alejandro Ramon
author Zumoffen, David Alejandro Ramon
author_facet Zumoffen, David Alejandro Ramon
author_role author
dc.subject.none.fl_str_mv CONTROLLER INTERACTION DEGREE
OVERSIZING ANALYSIS
PLANT-WIDE CONTROL
SERVO-REGULATOR TRADE-OFF
SPARSE CONTROLLER
topic CONTROLLER INTERACTION DEGREE
OVERSIZING ANALYSIS
PLANT-WIDE CONTROL
SERVO-REGULATOR TRADE-OFF
SPARSE CONTROLLER
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 In this work, an alternative plant-wide control design approach based on oversizing analysis is presented. The overall strategy can be divided in two main sequential tasks: 1- defining the optimal decentralized control structure, and 2- setting the controller interaction degree and its implementation. Both problems represent combinatorial optimizations based on multi-objective functional costs and were solved efficiently by genetic algorithms. The first task defines the optimal selection of controlled and manipulated variables simultaneously, the input-output pairing, and the overall controller dimension in a sum of square deviations context. The second task analyzes the potential improvements by defining the controller interaction degree via the net load evaluation approach. In addition, some insights are given about the feasibility (implementation load) of these control structures for a decentralized or centralized framework. The well-known Tennessee Eastman (TE) process is selected here for sake of comparison with other multivariable control designs.
Fil: Zumoffen, David Alejandro Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
description In this work, an alternative plant-wide control design approach based on oversizing analysis is presented. The overall strategy can be divided in two main sequential tasks: 1- defining the optimal decentralized control structure, and 2- setting the controller interaction degree and its implementation. Both problems represent combinatorial optimizations based on multi-objective functional costs and were solved efficiently by genetic algorithms. The first task defines the optimal selection of controlled and manipulated variables simultaneously, the input-output pairing, and the overall controller dimension in a sum of square deviations context. The second task analyzes the potential improvements by defining the controller interaction degree via the net load evaluation approach. In addition, some insights are given about the feasibility (implementation load) of these control structures for a decentralized or centralized framework. The well-known Tennessee Eastman (TE) process is selected here for sake of comparison with other multivariable control designs.
publishDate 2013
dc.date.none.fl_str_mv 2013-04-09
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/11336/3191
Zumoffen, David Alejandro Ramon; Oversizing Analysis in Plant-wide Control Design for Industrial Processes; Elsevier; Computers and Chemical Engineering; 59; 9-4-2013; 145-155
0098-1354
url http://hdl.handle.net/11336/3191
identifier_str_mv Zumoffen, David Alejandro Ramon; Oversizing Analysis in Plant-wide Control Design for Industrial Processes; Elsevier; Computers and Chemical Engineering; 59; 9-4-2013; 145-155
0098-1354
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Selected papers from ESCAPE-22 (European Symposium on Computer Aided Process Engineering - 22), 17-20 June 2012, London, UK
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135413000860
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.03.021
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/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_ 1846782269800316928
score 12.982451

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