Linear algebra and optimization based controller design for trajectory tracking of typical chemical process

Autores
Serrano, Mario Emanuel; Scaglia, Gustavo Juan Eduardo; Aballay, P.; Ortiz, O. A.; Mut, Vicente Antonio
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a new controller design to tracking trajectory of a typical chemical process. The plant model is represented by numerical methods and, from this approach, the control actions for an optimal operation of the system are obtained. Its main advantage is that the condition for the tracking error tends to zero and the calculation of control actions, are obtained solving a system of linear equations. The proofs of convergence to zero of the tracking error are presented. Simulation results show the good performance of the proposed control system.
Fil: Serrano, Mario Emanuel. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scaglia, Gustavo Juan Eduardo. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Aballay, P.. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina
Fil: Ortiz, O. A.. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina
Fil: Mut, Vicente Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Juan. Instituto de Automática; Argentina
Materia
Control System Design,
Nonlinear Model
Tracking Trajectory Control
Numerical Methods
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:11336/15195
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/15195
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Linear algebra and optimization based controller design for trajectory tracking of typical chemical processSerrano, Mario EmanuelScaglia, Gustavo Juan EduardoAballay, P.Ortiz, O. A.Mut, Vicente AntonioControl System Design,Nonlinear ModelTracking Trajectory ControlNumerical Methodshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents a new controller design to tracking trajectory of a typical chemical process. The plant model is represented by numerical methods and, from this approach, the control actions for an optimal operation of the system are obtained. Its main advantage is that the condition for the tracking error tends to zero and the calculation of control actions, are obtained solving a system of linear equations. The proofs of convergence to zero of the tracking error are presented. Simulation results show the good performance of the proposed control system.Fil: Serrano, Mario Emanuel. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scaglia, Gustavo Juan Eduardo. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Aballay, P.. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; ArgentinaFil: Ortiz, O. A.. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; ArgentinaFil: Mut, Vicente Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Juan. Instituto de Automática; ArgentinaPlanta Piloto de Ingeniería Química2014-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/15195Serrano, Mario Emanuel; Scaglia, Gustavo Juan Eduardo; Aballay, P.; Ortiz, O. A.; Mut, Vicente Antonio; Linear algebra and optimization based controller design for trajectory tracking of typical chemical process; Planta Piloto de Ingeniería Química; Latin American Applied Research; 44; 12-2014; 313-3180327-07931851-8796enginfo:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/artic_v4404/44_04_313.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:14:09Zoai:ri.conicet.gov.ar:11336/15195instacron: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 11:14:10.155CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
title Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
spellingShingle Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
Serrano, Mario Emanuel
Control System Design,
Nonlinear Model
Tracking Trajectory Control
Numerical Methods
title_short Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
title_full Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
title_fullStr Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
title_full_unstemmed Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
title_sort Linear algebra and optimization based controller design for trajectory tracking of typical chemical process
dc.creator.none.fl_str_mv Serrano, Mario Emanuel
Scaglia, Gustavo Juan Eduardo
Aballay, P.
Ortiz, O. A.
Mut, Vicente Antonio
author Serrano, Mario Emanuel
author_facet Serrano, Mario Emanuel
Scaglia, Gustavo Juan Eduardo
Aballay, P.
Ortiz, O. A.
Mut, Vicente Antonio
author_role author
author2 Scaglia, Gustavo Juan Eduardo
Aballay, P.
Ortiz, O. A.
Mut, Vicente Antonio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Control System Design,
Nonlinear Model
Tracking Trajectory Control
Numerical Methods
topic Control System Design,
Nonlinear Model
Tracking Trajectory Control
Numerical Methods
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a new controller design to tracking trajectory of a typical chemical process. The plant model is represented by numerical methods and, from this approach, the control actions for an optimal operation of the system are obtained. Its main advantage is that the condition for the tracking error tends to zero and the calculation of control actions, are obtained solving a system of linear equations. The proofs of convergence to zero of the tracking error are presented. Simulation results show the good performance of the proposed control system.
Fil: Serrano, Mario Emanuel. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scaglia, Gustavo Juan Eduardo. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Aballay, P.. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina
Fil: Ortiz, O. A.. Universidad Nacional de San Juan. Facultad de Ingenieria. Instituto de Ingenieria Quimica; Argentina
Fil: Mut, Vicente Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Juan. Instituto de Automática; Argentina
description This paper presents a new controller design to tracking trajectory of a typical chemical process. The plant model is represented by numerical methods and, from this approach, the control actions for an optimal operation of the system are obtained. Its main advantage is that the condition for the tracking error tends to zero and the calculation of control actions, are obtained solving a system of linear equations. The proofs of convergence to zero of the tracking error are presented. Simulation results show the good performance of the proposed control system.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
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/11336/15195
Serrano, Mario Emanuel; Scaglia, Gustavo Juan Eduardo; Aballay, P.; Ortiz, O. A.; Mut, Vicente Antonio; Linear algebra and optimization based controller design for trajectory tracking of typical chemical process; Planta Piloto de Ingeniería Química; Latin American Applied Research; 44; 12-2014; 313-318
0327-0793
1851-8796
url http://hdl.handle.net/11336/15195
identifier_str_mv Serrano, Mario Emanuel; Scaglia, Gustavo Juan Eduardo; Aballay, P.; Ortiz, O. A.; Mut, Vicente Antonio; Linear algebra and optimization based controller design for trajectory tracking of typical chemical process; Planta Piloto de Ingeniería Química; Latin American Applied Research; 44; 12-2014; 313-318
0327-0793
1851-8796
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/artic_v4404/44_04_313.pdf
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 Planta Piloto de Ingeniería Química
publisher.none.fl_str_mv Planta Piloto de Ingeniería Química
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_ 1846781558967500800
score 12.982451

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