Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems

In this paper, we propose a robust fault detection and isolation (FDI) strategy based on zonotopic unknown input observers (UIOs) for discrete-time descriptor linear time-varying (LTV) systems subject to uncertainties and additive actuator faults. System uncertainties including state disturbances an...

ver descrição completa

Detalhes bibliográficos
Autores: Wang, Ye|||0000-0003-1395-1676, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Xu, Feng, Cembrano Gennari, Gabriela|||0000-0003-1436-6022
Tipo de documento: artigo
Data de publicação:2019
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/178386
Acesso em linha:https://hdl.handle.net/2117/178386
https://dx.doi.org/10.1016/j.jfranklin.2019.04.014
Access Level:Acceso aberto
Palavra-chave:Fault tolerance (Engineering)
Tolerància als errors (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
id ES_bc8b96f647e5bc744e7ef1fb90d886c0
oai_identifier_str oai:upcommons.upc.edu:2117/178386
network_acronym_str ES
network_name_str España
repository_id_str
spelling Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systemsWang, Ye|||0000-0003-1395-1676Puig Cayuela, Vicenç|||0000-0002-6364-6429Xu, FengCembrano Gennari, Gabriela|||0000-0003-1436-6022Fault tolerance (Engineering)Tolerància als errors (Enginyeria)Àrees temàtiques de la UPC::Informàtica::Automàtica i controlIn this paper, we propose a robust fault detection and isolation (FDI) strategy based on zonotopic unknown input observers (UIOs) for discrete-time descriptor linear time-varying (LTV) systems subject to uncertainties and additive actuator faults. System uncertainties including state disturbances and measurement noise are unknown but bounded by predefined zonotopes. The uncertain state estimations and constructed residuals for robust FDI are propagated in a sequence of zonotopes. Based on a defined performance criterion, the fault detection (FD) observer gain is designed to be robust against uncertainties and meanwhile sensitive to faults. The explicit computational method for the FD observer gain is derived. In addition to include fault isolation, a bank of zonotopic UIOs are employed. Finally, we apply the proposed method into two case studies to show its effectiveness.Peer Reviewed20192019-01-0120202020-02-24journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/2117/178386https://dx.doi.org/10.1016/j.jfranklin.2019.04.014reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1783862026-05-27T15:37:01Z
dc.title.none.fl_str_mv Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
title Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
spellingShingle Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
Wang, Ye|||0000-0003-1395-1676
Fault tolerance (Engineering)
Tolerància als errors (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
title_short Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
title_full Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
title_fullStr Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
title_full_unstemmed Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
title_sort Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
dc.creator.none.fl_str_mv Wang, Ye|||0000-0003-1395-1676
Puig Cayuela, Vicenç|||0000-0002-6364-6429
Xu, Feng
Cembrano Gennari, Gabriela|||0000-0003-1436-6022
author Wang, Ye|||0000-0003-1395-1676
author_facet Wang, Ye|||0000-0003-1395-1676
Puig Cayuela, Vicenç|||0000-0002-6364-6429
Xu, Feng
Cembrano Gennari, Gabriela|||0000-0003-1436-6022
author_role author
author2 Puig Cayuela, Vicenç|||0000-0002-6364-6429
Xu, Feng
Cembrano Gennari, Gabriela|||0000-0003-1436-6022
author2_role author
author
author
dc.subject.none.fl_str_mv Fault tolerance (Engineering)
Tolerància als errors (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
topic Fault tolerance (Engineering)
Tolerància als errors (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
description In this paper, we propose a robust fault detection and isolation (FDI) strategy based on zonotopic unknown input observers (UIOs) for discrete-time descriptor linear time-varying (LTV) systems subject to uncertainties and additive actuator faults. System uncertainties including state disturbances and measurement noise are unknown but bounded by predefined zonotopes. The uncertain state estimations and constructed residuals for robust FDI are propagated in a sequence of zonotopes. Based on a defined performance criterion, the fault detection (FD) observer gain is designed to be robust against uncertainties and meanwhile sensitive to faults. The explicit computational method for the FD observer gain is derived. In addition to include fault isolation, a bank of zonotopic UIOs are employed. Finally, we apply the proposed method into two case studies to show its effectiveness.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
2020
2020-02-24
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/178386
https://dx.doi.org/10.1016/j.jfranklin.2019.04.014
url https://hdl.handle.net/2117/178386
https://dx.doi.org/10.1016/j.jfranklin.2019.04.014
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418123223891968
score 15,301603

Registros relacionados