Current-sensor fault detection and isolation for induction-motor drives using a geometric approach

Autores
Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan; Espinoza Trejo, Diego Rivelino
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents the design of a current-sensor fault detection and isolation system for induction-motor drives. A differential geometric approach is addressed to determine if faults can be detected and isolated in drives with two line current sensors by using a model based strategy. A set of subsystems is obtained based on the observability co-distribution, whose outputs are decoupled from the load torque (detectability) and only affected by one of the sensors (isolability). A bank of observers is designed for these subsystems in order to obtain residuals for the fault detection and isolation. It is demonstrated that the proposed strategy allows detecting single and multiple sensor faults, including disconnection, offset and gain faults. Experimental results validate the proposal.
Fil: Aguilera, Facundo. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: de la Barrera, Pablo Martin. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Espinoza Trejo, Diego Rivelino. Universidad Autónoma de San Luis Potosí; México
Materia
FAULT DETECTION AND ISOLATION
GEOMETRIC APPROACH
INDUCTION MOTOR DRIVE
NONLINEAR OBSERVER
SENSOR
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:11336/179867
Acceder
id CONICETDig_e87ae7e7195031145beed3f2e35f117d
oai_identifier_str oai:ri.conicet.gov.ar:11336/179867
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Current-sensor fault detection and isolation for induction-motor drives using a geometric approachAguilera, Facundode la Barrera, Pablo Martinde Angelo, Cristian HernanEspinoza Trejo, Diego RivelinoFAULT DETECTION AND ISOLATIONGEOMETRIC APPROACHINDUCTION MOTOR DRIVENONLINEAR OBSERVERSENSORhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This work presents the design of a current-sensor fault detection and isolation system for induction-motor drives. A differential geometric approach is addressed to determine if faults can be detected and isolated in drives with two line current sensors by using a model based strategy. A set of subsystems is obtained based on the observability co-distribution, whose outputs are decoupled from the load torque (detectability) and only affected by one of the sensors (isolability). A bank of observers is designed for these subsystems in order to obtain residuals for the fault detection and isolation. It is demonstrated that the proposed strategy allows detecting single and multiple sensor faults, including disconnection, offset and gain faults. Experimental results validate the proposal.Fil: Aguilera, Facundo. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: de la Barrera, Pablo Martin. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: de Angelo, Cristian Hernan. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Espinoza Trejo, Diego Rivelino. Universidad Autónoma de San Luis Potosí; MéxicoPergamon-Elsevier Science Ltd2016-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/179867Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan; Espinoza Trejo, Diego Rivelino; Current-sensor fault detection and isolation for induction-motor drives using a geometric approach; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 53; 8-2016; 35-460967-0661CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.conengprac.2016.04.014info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:44:13Zoai:ri.conicet.gov.ar:11336/179867instacron: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:34982025-10-15 14:44:13.676CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
title Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
spellingShingle Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
Aguilera, Facundo
FAULT DETECTION AND ISOLATION
GEOMETRIC APPROACH
INDUCTION MOTOR DRIVE
NONLINEAR OBSERVER
SENSOR
title_short Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
title_full Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
title_fullStr Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
title_full_unstemmed Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
title_sort Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
dc.creator.none.fl_str_mv Aguilera, Facundo
de la Barrera, Pablo Martin
de Angelo, Cristian Hernan
Espinoza Trejo, Diego Rivelino
author Aguilera, Facundo
author_facet Aguilera, Facundo
de la Barrera, Pablo Martin
de Angelo, Cristian Hernan
Espinoza Trejo, Diego Rivelino
author_role author
author2 de la Barrera, Pablo Martin
de Angelo, Cristian Hernan
Espinoza Trejo, Diego Rivelino
author2_role author
author
author
dc.subject.none.fl_str_mv FAULT DETECTION AND ISOLATION
GEOMETRIC APPROACH
INDUCTION MOTOR DRIVE
NONLINEAR OBSERVER
SENSOR
topic FAULT DETECTION AND ISOLATION
GEOMETRIC APPROACH
INDUCTION MOTOR DRIVE
NONLINEAR OBSERVER
SENSOR
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 work presents the design of a current-sensor fault detection and isolation system for induction-motor drives. A differential geometric approach is addressed to determine if faults can be detected and isolated in drives with two line current sensors by using a model based strategy. A set of subsystems is obtained based on the observability co-distribution, whose outputs are decoupled from the load torque (detectability) and only affected by one of the sensors (isolability). A bank of observers is designed for these subsystems in order to obtain residuals for the fault detection and isolation. It is demonstrated that the proposed strategy allows detecting single and multiple sensor faults, including disconnection, offset and gain faults. Experimental results validate the proposal.
Fil: Aguilera, Facundo. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: de la Barrera, Pablo Martin. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Espinoza Trejo, Diego Rivelino. Universidad Autónoma de San Luis Potosí; México
description This work presents the design of a current-sensor fault detection and isolation system for induction-motor drives. A differential geometric approach is addressed to determine if faults can be detected and isolated in drives with two line current sensors by using a model based strategy. A set of subsystems is obtained based on the observability co-distribution, whose outputs are decoupled from the load torque (detectability) and only affected by one of the sensors (isolability). A bank of observers is designed for these subsystems in order to obtain residuals for the fault detection and isolation. It is demonstrated that the proposed strategy allows detecting single and multiple sensor faults, including disconnection, offset and gain faults. Experimental results validate the proposal.
publishDate 2016
dc.date.none.fl_str_mv 2016-08
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/11336/179867
Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan; Espinoza Trejo, Diego Rivelino; Current-sensor fault detection and isolation for induction-motor drives using a geometric approach; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 53; 8-2016; 35-46
0967-0661
CONICET Digital
CONICET
url http://hdl.handle.net/11336/179867
identifier_str_mv Aguilera, Facundo; de la Barrera, Pablo Martin; de Angelo, Cristian Hernan; Espinoza Trejo, Diego Rivelino; Current-sensor fault detection and isolation for induction-motor drives using a geometric approach; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 53; 8-2016; 35-46
0967-0661
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conengprac.2016.04.014
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
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_ 1846082951985496064
score 13.22299

Publicaciones similares