One-layer gradient-based MPC + RTO of a propylene/propane splitter
- Autores
- Hinojosa, Aldo Ignacio; Ferramosca, Antonio; González, Alejandro Hernán; Odloak, Darci
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Here, the implementation of the gradient-based Economic MPC (Model Predictive Control) in an industrial distillation system is studied. The approach is an alternative to overcome the conflict between the MPC and RTO (Real Time Optimization) layers in the conventional control structure. The study is based on the rigorous dynamic simulation software (SimSciDynsim®) that reproduces the real system very closely and is able to communicate with Matlab. The gradient of the economic function, is obtained through the sensitivity tool of the real-time optimization package (SimSciROMeo®). In order to study the pros and cons of the new strategy, a propylene distillation system is simulated with both, the proposed approach (one-layer MPC + RTO) and the conventional two-layer hierarchical structure of control and optimization. The results show that, for this particular system, from the performance, stability and disturbance rejection viewpoint, the proposed gradient-based extended control method is equivalent or better than the conventional approach.
Fil: Hinojosa, Aldo Ignacio. Schneider Electric; México
Fil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Reconquista; Argentina
Fil: González, Alejandro Hernán. 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
Fil: Odloak, Darci. Universidade de Sao Paulo; Brasil - Materia
-
Dynamic Simulation
Economic Model Predictive Control
Propylene Production Unit
Real Time Optimization - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/58692
Ver los metadatos del registro completo
id |
CONICETDig_2d54e5f726dec779cf75ab0aae785f41 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/58692 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
One-layer gradient-based MPC + RTO of a propylene/propane splitterHinojosa, Aldo IgnacioFerramosca, AntonioGonzález, Alejandro HernánOdloak, DarciDynamic SimulationEconomic Model Predictive ControlPropylene Production UnitReal Time Optimizationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Here, the implementation of the gradient-based Economic MPC (Model Predictive Control) in an industrial distillation system is studied. The approach is an alternative to overcome the conflict between the MPC and RTO (Real Time Optimization) layers in the conventional control structure. The study is based on the rigorous dynamic simulation software (SimSciDynsim®) that reproduces the real system very closely and is able to communicate with Matlab. The gradient of the economic function, is obtained through the sensitivity tool of the real-time optimization package (SimSciROMeo®). In order to study the pros and cons of the new strategy, a propylene distillation system is simulated with both, the proposed approach (one-layer MPC + RTO) and the conventional two-layer hierarchical structure of control and optimization. The results show that, for this particular system, from the performance, stability and disturbance rejection viewpoint, the proposed gradient-based extended control method is equivalent or better than the conventional approach.Fil: Hinojosa, Aldo Ignacio. Schneider Electric; MéxicoFil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Reconquista; ArgentinaFil: González, Alejandro Hernán. 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; ArgentinaFil: Odloak, Darci. Universidade de Sao Paulo; BrasilPergamon-Elsevier Science Ltd2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/58692Hinojosa, Aldo Ignacio; Ferramosca, Antonio; González, Alejandro Hernán; Odloak, Darci; One-layer gradient-based MPC + RTO of a propylene/propane splitter; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 106; 11-2017; 160-1700098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2017.06.006info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0098135417302521info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:36Zoai:ri.conicet.gov.ar:11336/58692instacron: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 09:33:36.536CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
One-layer gradient-based MPC + RTO of a propylene/propane splitter |
title |
One-layer gradient-based MPC + RTO of a propylene/propane splitter |
spellingShingle |
One-layer gradient-based MPC + RTO of a propylene/propane splitter Hinojosa, Aldo Ignacio Dynamic Simulation Economic Model Predictive Control Propylene Production Unit Real Time Optimization |
title_short |
One-layer gradient-based MPC + RTO of a propylene/propane splitter |
title_full |
One-layer gradient-based MPC + RTO of a propylene/propane splitter |
title_fullStr |
One-layer gradient-based MPC + RTO of a propylene/propane splitter |
title_full_unstemmed |
One-layer gradient-based MPC + RTO of a propylene/propane splitter |
title_sort |
One-layer gradient-based MPC + RTO of a propylene/propane splitter |
dc.creator.none.fl_str_mv |
Hinojosa, Aldo Ignacio Ferramosca, Antonio González, Alejandro Hernán Odloak, Darci |
author |
Hinojosa, Aldo Ignacio |
author_facet |
Hinojosa, Aldo Ignacio Ferramosca, Antonio González, Alejandro Hernán Odloak, Darci |
author_role |
author |
author2 |
Ferramosca, Antonio González, Alejandro Hernán Odloak, Darci |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Dynamic Simulation Economic Model Predictive Control Propylene Production Unit Real Time Optimization |
topic |
Dynamic Simulation Economic Model Predictive Control Propylene Production Unit Real Time Optimization |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Here, the implementation of the gradient-based Economic MPC (Model Predictive Control) in an industrial distillation system is studied. The approach is an alternative to overcome the conflict between the MPC and RTO (Real Time Optimization) layers in the conventional control structure. The study is based on the rigorous dynamic simulation software (SimSciDynsim®) that reproduces the real system very closely and is able to communicate with Matlab. The gradient of the economic function, is obtained through the sensitivity tool of the real-time optimization package (SimSciROMeo®). In order to study the pros and cons of the new strategy, a propylene distillation system is simulated with both, the proposed approach (one-layer MPC + RTO) and the conventional two-layer hierarchical structure of control and optimization. The results show that, for this particular system, from the performance, stability and disturbance rejection viewpoint, the proposed gradient-based extended control method is equivalent or better than the conventional approach. Fil: Hinojosa, Aldo Ignacio. Schneider Electric; México Fil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Reconquista; Argentina Fil: González, Alejandro Hernán. 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 Fil: Odloak, Darci. Universidade de Sao Paulo; Brasil |
description |
Here, the implementation of the gradient-based Economic MPC (Model Predictive Control) in an industrial distillation system is studied. The approach is an alternative to overcome the conflict between the MPC and RTO (Real Time Optimization) layers in the conventional control structure. The study is based on the rigorous dynamic simulation software (SimSciDynsim®) that reproduces the real system very closely and is able to communicate with Matlab. The gradient of the economic function, is obtained through the sensitivity tool of the real-time optimization package (SimSciROMeo®). In order to study the pros and cons of the new strategy, a propylene distillation system is simulated with both, the proposed approach (one-layer MPC + RTO) and the conventional two-layer hierarchical structure of control and optimization. The results show that, for this particular system, from the performance, stability and disturbance rejection viewpoint, the proposed gradient-based extended control method is equivalent or better than the conventional approach. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11 |
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/11336/58692 Hinojosa, Aldo Ignacio; Ferramosca, Antonio; González, Alejandro Hernán; Odloak, Darci; One-layer gradient-based MPC + RTO of a propylene/propane splitter; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 106; 11-2017; 160-170 0098-1354 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/58692 |
identifier_str_mv |
Hinojosa, Aldo Ignacio; Ferramosca, Antonio; González, Alejandro Hernán; Odloak, Darci; One-layer gradient-based MPC + RTO of a propylene/propane splitter; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 106; 11-2017; 160-170 0098-1354 CONICET Digital CONICET |
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.2017.06.006 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0098135417302521 |
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_ |
1844613033215655936 |
score |
13.070432 |