A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems

Autores
Bianchi, Fernando Daniel; Kunusch, Cristian; Ocampo Martínez, Carlos; Sanchez Peña, Ricardo Salvador
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper addresses the linear parameter varying (LPV) control of a polymer electrolyte membrane fuel cell (PEMFC). To optimize efficiency, PEMFCs require reliable control systems ensuring stability and performance, as well as robustness to model uncertainties and external perturbations. On the other hand, PEMFCs present a highly nonlinear behavior that demands nonlinear and/or adaptive control strategies to achieve high performance in the entire operating range. Here, an LPV gain scheduled control is proposed. The control is based on a piecewise affine LPV representation of the PEMFC, a model that can be available in practice. To deal with the saturation of the control action, an LPV antiwindup compensation is also proposed. The complete control strategy is applied to several experimental practical situations in a laboratory fuel cell system to evaluate its performance and the reliability of the proposed algorithms.
Fil: Bianchi, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institut de Recerca en Energia de Catalunya; España
Fil: Kunusch, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Politécnica de Catalunya. Institut de Robòtica I Informàtica Industrial.; España
Fil: Ocampo Martínez, Carlos. Universidad Politécnica de Catalunya. Institut de Robòtica I Informàtica Industrial.; España
Fil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Linear Parameter Varying Systems
Gain Scheduled Control
Polymer Electrolyte Membrane Fuel Cells
Oxygen Stoichiometry
Antiwindup
Linear Parameter Varying Systems
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:11336/33889
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/33889
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell SystemsBianchi, Fernando DanielKunusch, CristianOcampo Martínez, CarlosSanchez Peña, Ricardo SalvadorLinear Parameter Varying SystemsGain Scheduled ControlPolymer Electrolyte Membrane Fuel CellsOxygen StoichiometryAntiwindupLinear Parameter Varying Systemshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper addresses the linear parameter varying (LPV) control of a polymer electrolyte membrane fuel cell (PEMFC). To optimize efficiency, PEMFCs require reliable control systems ensuring stability and performance, as well as robustness to model uncertainties and external perturbations. On the other hand, PEMFCs present a highly nonlinear behavior that demands nonlinear and/or adaptive control strategies to achieve high performance in the entire operating range. Here, an LPV gain scheduled control is proposed. The control is based on a piecewise affine LPV representation of the PEMFC, a model that can be available in practice. To deal with the saturation of the control action, an LPV antiwindup compensation is also proposed. The complete control strategy is applied to several experimental practical situations in a laboratory fuel cell system to evaluate its performance and the reliability of the proposed algorithms.Fil: Bianchi, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institut de Recerca en Energia de Catalunya; EspañaFil: Kunusch, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Politécnica de Catalunya. Institut de Robòtica I Informàtica Industrial.; EspañaFil: Ocampo Martínez, Carlos. Universidad Politécnica de Catalunya. Institut de Robòtica I Informàtica Industrial.; EspañaFil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInstitute of Electrical and Electronics Engineers2014-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/33889Bianchi, Fernando Daniel; Kunusch, Cristian; Ocampo Martínez, Carlos; Sanchez Peña, Ricardo Salvador; A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems; Institute of Electrical and Electronics Engineers; Ieee Transactions on Control Systems Technology; 22; 5; 9-2014; 1837-18441063-65361558-0865CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6670714/info:eu-repo/semantics/altIdentifier/doi/10.1109/TCST.2013.2288992info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:45:37Zoai:ri.conicet.gov.ar:11336/33889instacron: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 10:45:37.634CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
title A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
spellingShingle A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
Bianchi, Fernando Daniel
Linear Parameter Varying Systems
Gain Scheduled Control
Polymer Electrolyte Membrane Fuel Cells
Oxygen Stoichiometry
Antiwindup
Linear Parameter Varying Systems
title_short A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
title_full A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
title_fullStr A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
title_full_unstemmed A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
title_sort A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems
dc.creator.none.fl_str_mv Bianchi, Fernando Daniel
Kunusch, Cristian
Ocampo Martínez, Carlos
Sanchez Peña, Ricardo Salvador
author Bianchi, Fernando Daniel
author_facet Bianchi, Fernando Daniel
Kunusch, Cristian
Ocampo Martínez, Carlos
Sanchez Peña, Ricardo Salvador
author_role author
author2 Kunusch, Cristian
Ocampo Martínez, Carlos
Sanchez Peña, Ricardo Salvador
author2_role author
author
author
dc.subject.none.fl_str_mv Linear Parameter Varying Systems
Gain Scheduled Control
Polymer Electrolyte Membrane Fuel Cells
Oxygen Stoichiometry
Antiwindup
Linear Parameter Varying Systems
topic Linear Parameter Varying Systems
Gain Scheduled Control
Polymer Electrolyte Membrane Fuel Cells
Oxygen Stoichiometry
Antiwindup
Linear Parameter Varying Systems
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 addresses the linear parameter varying (LPV) control of a polymer electrolyte membrane fuel cell (PEMFC). To optimize efficiency, PEMFCs require reliable control systems ensuring stability and performance, as well as robustness to model uncertainties and external perturbations. On the other hand, PEMFCs present a highly nonlinear behavior that demands nonlinear and/or adaptive control strategies to achieve high performance in the entire operating range. Here, an LPV gain scheduled control is proposed. The control is based on a piecewise affine LPV representation of the PEMFC, a model that can be available in practice. To deal with the saturation of the control action, an LPV antiwindup compensation is also proposed. The complete control strategy is applied to several experimental practical situations in a laboratory fuel cell system to evaluate its performance and the reliability of the proposed algorithms.
Fil: Bianchi, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institut de Recerca en Energia de Catalunya; España
Fil: Kunusch, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Politécnica de Catalunya. Institut de Robòtica I Informàtica Industrial.; España
Fil: Ocampo Martínez, Carlos. Universidad Politécnica de Catalunya. Institut de Robòtica I Informàtica Industrial.; España
Fil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description This paper addresses the linear parameter varying (LPV) control of a polymer electrolyte membrane fuel cell (PEMFC). To optimize efficiency, PEMFCs require reliable control systems ensuring stability and performance, as well as robustness to model uncertainties and external perturbations. On the other hand, PEMFCs present a highly nonlinear behavior that demands nonlinear and/or adaptive control strategies to achieve high performance in the entire operating range. Here, an LPV gain scheduled control is proposed. The control is based on a piecewise affine LPV representation of the PEMFC, a model that can be available in practice. To deal with the saturation of the control action, an LPV antiwindup compensation is also proposed. The complete control strategy is applied to several experimental practical situations in a laboratory fuel cell system to evaluate its performance and the reliability of the proposed algorithms.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
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/11336/33889
Bianchi, Fernando Daniel; Kunusch, Cristian; Ocampo Martínez, Carlos; Sanchez Peña, Ricardo Salvador; A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems; Institute of Electrical and Electronics Engineers; Ieee Transactions on Control Systems Technology; 22; 5; 9-2014; 1837-1844
1063-6536
1558-0865
CONICET Digital
CONICET
url http://hdl.handle.net/11336/33889
identifier_str_mv Bianchi, Fernando Daniel; Kunusch, Cristian; Ocampo Martínez, Carlos; Sanchez Peña, Ricardo Salvador; A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems; Institute of Electrical and Electronics Engineers; Ieee Transactions on Control Systems Technology; 22; 5; 9-2014; 1837-1844
1063-6536
1558-0865
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6670714/
info:eu-repo/semantics/altIdentifier/doi/10.1109/TCST.2013.2288992
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 Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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_ 1844614495959252992
score 13.070432

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