Improvements on multivariable control strategies tested on the Petlyuk distillation column
- Autores
- Zumoffen, David Alejandro Ramon; Molina, Gonzalo Dario; Basualdo, Marta Susana
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this work, a multivariable control methodology, named minimum square deviation (MSD), is applied to the challenging Petlyuk distillation column. This process is able to separate a ternary mixture in the same shell reducing the capital investment cost respect to that needed if a classic layout of two integrated columns is used. By this way, the energy consumption can be reduced up to 30%. However, some problems have been reported, caused by the intrinsic coupling among the control loops implemented on this column. The MSD method selects a control structure systematically by minimizing the sum of square deviations (SSD) and net load evaluation (NLE) indexes. From SSD procedure a diagonal controller structure is achieved. The NLE stage is a valuable tool for deciding which is the best control configuration among full, diagonal or sparse. It depends on the weighting factors which quantify the relative importance between servo and regulator problems. On the other side, a well recognized multivariable control strategy, named self optimizing control (SOC), was previously implemented on the same Petlyuk distillation column. Different controlled variables were selected by applying singular value and null space methods which gave different decentralized control structures. Thus, the Petlyuk distillation column represents a proper example to highlight MSD achievements. Then, the first contribution of this work is to quantify the skills of both methods, MSD and SOC, through the use of the same complex case. The second contribution is to propose some improvements on SOC technique. The third contribution is to obtain new efficient control alternatives for the Petlyuk distillation column. Then, to give support to the final conclusions, a complete set of simulations and quantitative comparisons is given for several control structures and scenarios.
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. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina
Fil: Molina, Gonzalo Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina - Materia
-
Plant-Wide Control
Minimum Square Deviation
Self Optimizing Control
Petlyuk Distillation Column
Sparse Control Structure - 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:11336/3197
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Improvements on multivariable control strategies tested on the Petlyuk distillation columnZumoffen, David Alejandro RamonMolina, Gonzalo DarioBasualdo, Marta SusanaPlant-Wide ControlMinimum Square DeviationSelf Optimizing ControlPetlyuk Distillation ColumnSparse Control Structurehttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In this work, a multivariable control methodology, named minimum square deviation (MSD), is applied to the challenging Petlyuk distillation column. This process is able to separate a ternary mixture in the same shell reducing the capital investment cost respect to that needed if a classic layout of two integrated columns is used. By this way, the energy consumption can be reduced up to 30%. However, some problems have been reported, caused by the intrinsic coupling among the control loops implemented on this column. The MSD method selects a control structure systematically by minimizing the sum of square deviations (SSD) and net load evaluation (NLE) indexes. From SSD procedure a diagonal controller structure is achieved. The NLE stage is a valuable tool for deciding which is the best control configuration among full, diagonal or sparse. It depends on the weighting factors which quantify the relative importance between servo and regulator problems. On the other side, a well recognized multivariable control strategy, named self optimizing control (SOC), was previously implemented on the same Petlyuk distillation column. Different controlled variables were selected by applying singular value and null space methods which gave different decentralized control structures. Thus, the Petlyuk distillation column represents a proper example to highlight MSD achievements. Then, the first contribution of this work is to quantify the skills of both methods, MSD and SOC, through the use of the same complex case. The second contribution is to propose some improvements on SOC technique. The third contribution is to obtain new efficient control alternatives for the Petlyuk distillation column. Then, to give support to the final conclusions, a complete set of simulations and quantitative comparisons is given for several control structures and scenarios.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. Universidad Tecnológica Nacional. Facultad Regional Rosario; ArgentinaFil: Molina, Gonzalo Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaElsevier2013-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/3197Zumoffen, David Alejandro Ramon; Molina, Gonzalo Dario; Basualdo, Marta Susana; Improvements on multivariable control strategies tested on the Petlyuk distillation column; Elsevier; Chemical Engineering Science; 93; 19-4-2013; 292-3060009-2509enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0009250913000997info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ces.2013.02.008info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:49Zoai:ri.conicet.gov.ar:11336/3197instacron: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 09:39:49.641CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Improvements on multivariable control strategies tested on the Petlyuk distillation column |
title |
Improvements on multivariable control strategies tested on the Petlyuk distillation column |
spellingShingle |
Improvements on multivariable control strategies tested on the Petlyuk distillation column Zumoffen, David Alejandro Ramon Plant-Wide Control Minimum Square Deviation Self Optimizing Control Petlyuk Distillation Column Sparse Control Structure |
title_short |
Improvements on multivariable control strategies tested on the Petlyuk distillation column |
title_full |
Improvements on multivariable control strategies tested on the Petlyuk distillation column |
title_fullStr |
Improvements on multivariable control strategies tested on the Petlyuk distillation column |
title_full_unstemmed |
Improvements on multivariable control strategies tested on the Petlyuk distillation column |
title_sort |
Improvements on multivariable control strategies tested on the Petlyuk distillation column |
dc.creator.none.fl_str_mv |
Zumoffen, David Alejandro Ramon Molina, Gonzalo Dario Basualdo, Marta Susana |
author |
Zumoffen, David Alejandro Ramon |
author_facet |
Zumoffen, David Alejandro Ramon Molina, Gonzalo Dario Basualdo, Marta Susana |
author_role |
author |
author2 |
Molina, Gonzalo Dario Basualdo, Marta Susana |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Plant-Wide Control Minimum Square Deviation Self Optimizing Control Petlyuk Distillation Column Sparse Control Structure |
topic |
Plant-Wide Control Minimum Square Deviation Self Optimizing Control Petlyuk Distillation Column Sparse Control Structure |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
In this work, a multivariable control methodology, named minimum square deviation (MSD), is applied to the challenging Petlyuk distillation column. This process is able to separate a ternary mixture in the same shell reducing the capital investment cost respect to that needed if a classic layout of two integrated columns is used. By this way, the energy consumption can be reduced up to 30%. However, some problems have been reported, caused by the intrinsic coupling among the control loops implemented on this column. The MSD method selects a control structure systematically by minimizing the sum of square deviations (SSD) and net load evaluation (NLE) indexes. From SSD procedure a diagonal controller structure is achieved. The NLE stage is a valuable tool for deciding which is the best control configuration among full, diagonal or sparse. It depends on the weighting factors which quantify the relative importance between servo and regulator problems. On the other side, a well recognized multivariable control strategy, named self optimizing control (SOC), was previously implemented on the same Petlyuk distillation column. Different controlled variables were selected by applying singular value and null space methods which gave different decentralized control structures. Thus, the Petlyuk distillation column represents a proper example to highlight MSD achievements. Then, the first contribution of this work is to quantify the skills of both methods, MSD and SOC, through the use of the same complex case. The second contribution is to propose some improvements on SOC technique. The third contribution is to obtain new efficient control alternatives for the Petlyuk distillation column. Then, to give support to the final conclusions, a complete set of simulations and quantitative comparisons is given for several control structures and scenarios. 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. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina Fil: Molina, Gonzalo Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina Fil: Basualdo, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina |
description |
In this work, a multivariable control methodology, named minimum square deviation (MSD), is applied to the challenging Petlyuk distillation column. This process is able to separate a ternary mixture in the same shell reducing the capital investment cost respect to that needed if a classic layout of two integrated columns is used. By this way, the energy consumption can be reduced up to 30%. However, some problems have been reported, caused by the intrinsic coupling among the control loops implemented on this column. The MSD method selects a control structure systematically by minimizing the sum of square deviations (SSD) and net load evaluation (NLE) indexes. From SSD procedure a diagonal controller structure is achieved. The NLE stage is a valuable tool for deciding which is the best control configuration among full, diagonal or sparse. It depends on the weighting factors which quantify the relative importance between servo and regulator problems. On the other side, a well recognized multivariable control strategy, named self optimizing control (SOC), was previously implemented on the same Petlyuk distillation column. Different controlled variables were selected by applying singular value and null space methods which gave different decentralized control structures. Thus, the Petlyuk distillation column represents a proper example to highlight MSD achievements. Then, the first contribution of this work is to quantify the skills of both methods, MSD and SOC, through the use of the same complex case. The second contribution is to propose some improvements on SOC technique. The third contribution is to obtain new efficient control alternatives for the Petlyuk distillation column. Then, to give support to the final conclusions, a complete set of simulations and quantitative comparisons is given for several control structures and scenarios. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04-19 |
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/11336/3197 Zumoffen, David Alejandro Ramon; Molina, Gonzalo Dario; Basualdo, Marta Susana; Improvements on multivariable control strategies tested on the Petlyuk distillation column; Elsevier; Chemical Engineering Science; 93; 19-4-2013; 292-306 0009-2509 |
url |
http://hdl.handle.net/11336/3197 |
identifier_str_mv |
Zumoffen, David Alejandro Ramon; Molina, Gonzalo Dario; Basualdo, Marta Susana; Improvements on multivariable control strategies tested on the Petlyuk distillation column; Elsevier; Chemical Engineering Science; 93; 19-4-2013; 292-306 0009-2509 |
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/S0009250913000997 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ces.2013.02.008 |
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 |
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1844613260729384960 |
score |
13.070432 |