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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/3191
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:23:31Zoai: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:34982025-09-29 10:23:31.661CONICET 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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |