Set-valued observer-based active fault-tolerant model predictive control

This paper proposes an integrated actuator and sensor active fault-tolerant model predictive control scheme. In this scheme, fault detection is implemented by using a set-valued observer, fault isolation (FI) is performed by set manipulations, and fault-tolerant control is carried out through the de...

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Autores: Xu, Feng, Puig, Vicenç, Ocampo-Martínez, Carlos, Wang, Xueqian
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2017
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/166480
Acceso en línea:http://hdl.handle.net/10261/166480
Access Level:acceso abierto
Palabra clave:Fault detection and isolation
Actuator and sensor faults
Set-valued observer
Model predictive control
Fault-tolerant control
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spelling Set-valued observer-based active fault-tolerant model predictive controlXu, FengPuig, VicençOcampo-Martínez, CarlosWang, XueqianFault detection and isolationActuator and sensor faultsSet-valued observerModel predictive controlFault-tolerant controlThis paper proposes an integrated actuator and sensor active fault-tolerant model predictive control scheme. In this scheme, fault detection is implemented by using a set-valued observer, fault isolation (FI) is performed by set manipulations, and fault-tolerant control is carried out through the design of a robust model predictive control law. In this paper, a set-valued observer is used to passively complete the fault detection task, while FI is actively performed by making use of the constraint-handling capability of robust model predictive control. The set-valued observer is chosen to implement fault detection and isolation (FDI) because of its simple mathematical structure that is not affected by the type of faults such as sensor, actuator, and system-structural faults. This means that only one set-valued observer is needed to monitor all considered actuator and sensor statuses (health and fault) and to carry out the fault detection and isolation task instead of using a bank of observers (each observer matching a health/fault status). Furthermore, in the proposed scheme, the advantage of robust model predictive control is that it can effectively deal with system constraints, disturbances, and noises and allow to implement an active FI strategy, which can improve FI sensitivity when compared with the passive FI methods. Finally, a case study based on the well-known two-tank system is used to illustrate the effectiveness of the proposed fault-tolerant model predictive control scheme.This work has been partially funded by the Spanish Government (MINECO) through the project CICYT ECOCIS (ref. DPI2013-48243-C2-1-R), MINECO and FEDER through the project CICYT HARCRICS (ref. DPI2014- 58104-R), the Natural Science Foundation of Guangdong (No.2015A030313881), the National Natural Science Foundation of China (No.61673239), and the Shenzhen Key Lab of Space Robotic Technology and Telescience.Peer ReviewedJohn Wiley & SonsMinisterio de Economía y Competitividad (España)Comisión Interministerial de Ciencia y Tecnología, CICYT (España)European CommissionNational Natural Science Foundation of ChinaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2018201820172018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Preprintinfo:eu-repo/semantics/submittedVersionhttp://hdl.handle.net/10261/166480reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#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/DPI2013-48243-C2-1-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2014- 58104-Rhttps://doi.org/10.1002/oca.2284Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1664802026-05-22T06:33:51Z
dc.title.none.fl_str_mv Set-valued observer-based active fault-tolerant model predictive control
title Set-valued observer-based active fault-tolerant model predictive control
spellingShingle Set-valued observer-based active fault-tolerant model predictive control
Xu, Feng
Fault detection and isolation
Actuator and sensor faults
Set-valued observer
Model predictive control
Fault-tolerant control
title_short Set-valued observer-based active fault-tolerant model predictive control
title_full Set-valued observer-based active fault-tolerant model predictive control
title_fullStr Set-valued observer-based active fault-tolerant model predictive control
title_full_unstemmed Set-valued observer-based active fault-tolerant model predictive control
title_sort Set-valued observer-based active fault-tolerant model predictive control
dc.creator.none.fl_str_mv Xu, Feng
Puig, Vicenç
Ocampo-Martínez, Carlos
Wang, Xueqian
author Xu, Feng
author_facet Xu, Feng
Puig, Vicenç
Ocampo-Martínez, Carlos
Wang, Xueqian
author_role author
author2 Puig, Vicenç
Ocampo-Martínez, Carlos
Wang, Xueqian
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Comisión Interministerial de Ciencia y Tecnología, CICYT (España)
European Commission
National Natural Science Foundation of China
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Fault detection and isolation
Actuator and sensor faults
Set-valued observer
Model predictive control
Fault-tolerant control
topic Fault detection and isolation
Actuator and sensor faults
Set-valued observer
Model predictive control
Fault-tolerant control
description This paper proposes an integrated actuator and sensor active fault-tolerant model predictive control scheme. In this scheme, fault detection is implemented by using a set-valued observer, fault isolation (FI) is performed by set manipulations, and fault-tolerant control is carried out through the design of a robust model predictive control law. In this paper, a set-valued observer is used to passively complete the fault detection task, while FI is actively performed by making use of the constraint-handling capability of robust model predictive control. The set-valued observer is chosen to implement fault detection and isolation (FDI) because of its simple mathematical structure that is not affected by the type of faults such as sensor, actuator, and system-structural faults. This means that only one set-valued observer is needed to monitor all considered actuator and sensor statuses (health and fault) and to carry out the fault detection and isolation task instead of using a bank of observers (each observer matching a health/fault status). Furthermore, in the proposed scheme, the advantage of robust model predictive control is that it can effectively deal with system constraints, disturbances, and noises and allow to implement an active FI strategy, which can improve FI sensitivity when compared with the passive FI methods. Finally, a case study based on the well-known two-tank system is used to illustrate the effectiveness of the proposed fault-tolerant model predictive control scheme.
publishDate 2017
dc.date.none.fl_str_mv 2017
2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Preprint
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/166480
url http://hdl.handle.net/10261/166480
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#
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/DPI2014- 58104-R
https://doi.org/10.1002/oca.2284
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
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 15,811543

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