Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory

In this paper, an approach to evaluate the actuator fault tolerance of a nonlinear model predictive control (NMPC) system using viability theory is proposed. Viability theory provides several concepts formulated in a set form (viability kernel and capture basin) that are very useful to assess if aft...

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Detalhes bibliográficos
Autores: Zarch, Majid Ghaniee, Puig, Vicenç, Poshtan, Javad, Shoorehdeli, Mahdi Aliyari
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/179708
Acesso em linha:http://hdl.handle.net/10261/179708
Access Level:acceso abierto
Palavra-chave:Fault tolerance evaluation
Viability theory
Set invariance theory
Model predictive control
Linear parameter varying system
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spelling Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theoryZarch, Majid GhanieePuig, VicençPoshtan, JavadShoorehdeli, Mahdi AliyariFault tolerance evaluationViability theorySet invariance theoryModel predictive controlLinear parameter varying systemIn this paper, an approach to evaluate the actuator fault tolerance of a nonlinear model predictive control (NMPC) system using viability theory is proposed. Viability theory provides several concepts formulated in a set form (viability kernel and capture basin) that are very useful to assess if after the fault the NMPC controller will be able to achieve their goal either using a reconfiguration or an accommodation strategy. By representing the nonlinear model of the system in a linear parameter varying (LPV) form and using zonotopes to evaluate viability sets, an algorithm is developed and implemented that is able to assess the tolerance of the NMPC controller. To illustrate the proposed approach two application examples based on well-known control problems (a pasteurization plant and a mobile robot) are used.This work has been funded by the Spanish Ministry of Economy and Competitiveness (MINECO) and FEDER through the projects ECOCIS (Ref. DPDEOCS (ref. DPI2016-76493) and SCAV (ref. DPI2017-88403-R), the FPI grant (ref. BES-2014-068319), the María de Maeztu Seal of Excellence to IRI (ref. MDM-2016-0656), and by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (ref. 2017-SGR-482).Peer reviewedElsevierMinisterio de Economía y Competitividad (España)European CommissionGeneralitat de CatalunyaPuig, Vicenç [0000-0002-6364-6429]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/179708reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-76493info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-88403-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2013-48243-C2-1-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2016-0656https://doi.org/10.1016/j.jprocont.2018.08.006Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1797082026-05-22T06:33:51Z
dc.title.none.fl_str_mv Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
title Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
spellingShingle Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
Zarch, Majid Ghaniee
Fault tolerance evaluation
Viability theory
Set invariance theory
Model predictive control
Linear parameter varying system
title_short Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
title_full Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
title_fullStr Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
title_full_unstemmed Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
title_sort Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory
dc.creator.none.fl_str_mv Zarch, Majid Ghaniee
Puig, Vicenç
Poshtan, Javad
Shoorehdeli, Mahdi Aliyari
author Zarch, Majid Ghaniee
author_facet Zarch, Majid Ghaniee
Puig, Vicenç
Poshtan, Javad
Shoorehdeli, Mahdi Aliyari
author_role author
author2 Puig, Vicenç
Poshtan, Javad
Shoorehdeli, Mahdi Aliyari
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Generalitat de Catalunya
Puig, Vicenç [0000-0002-6364-6429]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Fault tolerance evaluation
Viability theory
Set invariance theory
Model predictive control
Linear parameter varying system
topic Fault tolerance evaluation
Viability theory
Set invariance theory
Model predictive control
Linear parameter varying system
description In this paper, an approach to evaluate the actuator fault tolerance of a nonlinear model predictive control (NMPC) system using viability theory is proposed. Viability theory provides several concepts formulated in a set form (viability kernel and capture basin) that are very useful to assess if after the fault the NMPC controller will be able to achieve their goal either using a reconfiguration or an accommodation strategy. By representing the nonlinear model of the system in a linear parameter varying (LPV) form and using zonotopes to evaluate viability sets, an algorithm is developed and implemented that is able to assess the tolerance of the NMPC controller. To illustrate the proposed approach two application examples based on well-known control problems (a pasteurization plant and a mobile robot) are used.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/179708
url http://hdl.handle.net/10261/179708
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-76493
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-88403-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2013-48243-C2-1-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2016-0656
https://doi.org/10.1016/j.jprocont.2018.08.006
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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