Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach

In this paper, sensor fault diagnosis of a singular delayed linear parameter varying (LPV) system is considered. In the considered system, the model matrices are dependent on some parameters which are real-time measurable. The case of inexact parameter measurements is considered which is close to re...

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Autores: Hassanabadi, Amir Hossein, Shafiee, Masoud, Puig Cayuela, Vicenç|||0000-0002-6364-6429
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/130897
Acceso en línea:https://hdl.handle.net/2117/130897
https://dx.doi.org/10.1080/00207721.2017.1390700
Access Level:acceso abierto
Palabra clave:Detectors
System failures (Engineering)
fault diagnosis
inexact parameters
Singular delayed LPV system
uncertain system approach
unknown input observer (UIO)
Errors de sistemes (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
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oai_identifier_str oai:upcommons.upc.edu:2117/130897
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repository_id_str
spelling Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approachHassanabadi, Amir HosseinShafiee, MasoudPuig Cayuela, Vicenç|||0000-0002-6364-6429DetectorsSystem failures (Engineering)fault diagnosisinexact parametersSingular delayed LPV systemuncertain system approachunknown input observer (UIO)DetectorsErrors de sistemes (Enginyeria)Àrees temàtiques de la UPC::Informàtica::Automàtica i controlIn this paper, sensor fault diagnosis of a singular delayed linear parameter varying (LPV) system is considered. In the considered system, the model matrices are dependent on some parameters which are real-time measurable. The case of inexact parameter measurements is considered which is close to real situations. Fault diagnosis in this system is achieved via fault estimation. For this purpose, an augmented system is created by including sensor faults as additional system states. Then, an unknown input observer (UIO) is designed which estimates both the system states and the faults in the presence of measurement noise, disturbances and uncertainty induced by inexact measured parameters. Error dynamics and the original system constitute an uncertain system due to inconsistencies between real and measured values of the parameters. Then, the robust estimation of the system states and the faults are achieved with H8 performance and formulated with a set of linear matrix inequalities (LMIs). The designed UIO is also applicable for fault diagnosis of singular delayed LPV systems with unmeasurable scheduling variables. The efficiency of the proposed approach is illustrated with an example.Peer Reviewed20172017-10-0120192019-03-27journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/130897https://dx.doi.org/10.1080/00207721.2017.1390700reponame: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:2117/1308972026-05-27T15:37:01Z
dc.title.none.fl_str_mv Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
title Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
spellingShingle Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
Hassanabadi, Amir Hossein
Detectors
System failures (Engineering)
fault diagnosis
inexact parameters
Singular delayed LPV system
uncertain system approach
unknown input observer (UIO)
Detectors
Errors de sistemes (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
title_short Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
title_full Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
title_fullStr Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
title_full_unstemmed Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
title_sort Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
dc.creator.none.fl_str_mv Hassanabadi, Amir Hossein
Shafiee, Masoud
Puig Cayuela, Vicenç|||0000-0002-6364-6429
author Hassanabadi, Amir Hossein
author_facet Hassanabadi, Amir Hossein
Shafiee, Masoud
Puig Cayuela, Vicenç|||0000-0002-6364-6429
author_role author
author2 Shafiee, Masoud
Puig Cayuela, Vicenç|||0000-0002-6364-6429
author2_role author
author
dc.subject.none.fl_str_mv Detectors
System failures (Engineering)
fault diagnosis
inexact parameters
Singular delayed LPV system
uncertain system approach
unknown input observer (UIO)
Detectors
Errors de sistemes (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
topic Detectors
System failures (Engineering)
fault diagnosis
inexact parameters
Singular delayed LPV system
uncertain system approach
unknown input observer (UIO)
Detectors
Errors de sistemes (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
description In this paper, sensor fault diagnosis of a singular delayed linear parameter varying (LPV) system is considered. In the considered system, the model matrices are dependent on some parameters which are real-time measurable. The case of inexact parameter measurements is considered which is close to real situations. Fault diagnosis in this system is achieved via fault estimation. For this purpose, an augmented system is created by including sensor faults as additional system states. Then, an unknown input observer (UIO) is designed which estimates both the system states and the faults in the presence of measurement noise, disturbances and uncertainty induced by inexact measured parameters. Error dynamics and the original system constitute an uncertain system due to inconsistencies between real and measured values of the parameters. Then, the robust estimation of the system states and the faults are achieved with H8 performance and formulated with a set of linear matrix inequalities (LMIs). The designed UIO is also applicable for fault diagnosis of singular delayed LPV systems with unmeasurable scheduling variables. The efficiency of the proposed approach is illustrated with an example.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-10-01
2019
2019-03-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/130897
https://dx.doi.org/10.1080/00207721.2017.1390700
url https://hdl.handle.net/2117/130897
https://dx.doi.org/10.1080/00207721.2017.1390700
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
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
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score 15,300719

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