A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM
A model-based method for interturn short-circuit fault detection and isolation in permanent magnet synchronous machines (PMSMs) is proposed in this paper. The fault detection is realized based on a residual current vector (RCV) generated by the difference between the measured stator currents and the...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/74679 |
| Acceso en línea: | http://hdl.handle.net/11336/74679 |
| Access Level: | acceso abierto |
| Palabra clave: | Fault Diagnosis Interturn Short Circuit Model-Based Approach Observer Permanent-Magnet Synchronous Machines (Pmsms) https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
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A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSMMazzoletti, Manuel ArmandoBossio, Guillermo Rubénde Angelo, Cristian HernanEspinoza-Trejo, Diego R.Fault DiagnosisInterturn Short CircuitModel-Based ApproachObserverPermanent-Magnet Synchronous Machines (Pmsms)https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2A model-based method for interturn short-circuit fault detection and isolation in permanent magnet synchronous machines (PMSMs) is proposed in this paper. The fault detection is realized based on a residual current vector (RCV) generated by the difference between the measured stator currents and the stator currents estimated by a state observer. In order to avoid false alarms due to possible undesired perturbations, the sequence decomposition of the RCV is performed by employing different reference-frames. Thus, the proposed RCV allows the correct detection of interturn short-circuit faults and quantification of the fault severity in any faulty stator-phase winding. Moreover, since the back-EMF generated by the magnets is proportional to the rotor shaft speed, the electrical angular speed is estimated through the stator voltages measurement, without using a speed sensor. Simulation results from the three-phase PMSM dynamic model that allows considering the interturn short-circuit fault in any stator phase-windings are presented. The proposed method is validated using a three-phase PMSM prototype with modified stator windings. The robustness and the reliability of the proposal was tested for several interturn fault conditions under transient conditions including different disturbances.Fil: Mazzoletti, Manuel Armando. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Bossio, Guillermo Rubén. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: de Angelo, Cristian Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; ArgentinaFil: Espinoza-Trejo, Diego R.. Universidad Autónoma de San Luis Potosí; MéxicoInstitute of Electrical and Electronics Engineers2017-09info: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/11336/74679Mazzoletti, Manuel Armando; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan; Espinoza-Trejo, Diego R.; A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM; Institute of Electrical and Electronics Engineers; Ieee Transactions On Industrial Electronics; 64; 9; 9-2017; 7218-72280278-0046CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7889000/info:eu-repo/semantics/altIdentifier/doi/10.1109/TIE.2017.2688973info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:45:30Zoai:ri.conicet.gov.ar:11336/74679instacron: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:34982024-05-08 13:45:30.524CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM |
| title |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM |
| spellingShingle |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM Mazzoletti, Manuel Armando Fault Diagnosis Interturn Short Circuit Model-Based Approach Observer Permanent-Magnet Synchronous Machines (Pmsms) https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
| title_short |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM |
| title_full |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM |
| title_fullStr |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM |
| title_full_unstemmed |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM |
| title_sort |
A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM |
| dc.creator.none.fl_str_mv |
Mazzoletti, Manuel Armando Bossio, Guillermo Rubén de Angelo, Cristian Hernan Espinoza-Trejo, Diego R. |
| author |
Mazzoletti, Manuel Armando |
| author_facet |
Mazzoletti, Manuel Armando Bossio, Guillermo Rubén de Angelo, Cristian Hernan Espinoza-Trejo, Diego R. |
| author_role |
author |
| author2 |
Bossio, Guillermo Rubén de Angelo, Cristian Hernan Espinoza-Trejo, Diego R. |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Fault Diagnosis Interturn Short Circuit Model-Based Approach Observer Permanent-Magnet Synchronous Machines (Pmsms) https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
| topic |
Fault Diagnosis Interturn Short Circuit Model-Based Approach Observer Permanent-Magnet Synchronous Machines (Pmsms) https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
| description |
A model-based method for interturn short-circuit fault detection and isolation in permanent magnet synchronous machines (PMSMs) is proposed in this paper. The fault detection is realized based on a residual current vector (RCV) generated by the difference between the measured stator currents and the stator currents estimated by a state observer. In order to avoid false alarms due to possible undesired perturbations, the sequence decomposition of the RCV is performed by employing different reference-frames. Thus, the proposed RCV allows the correct detection of interturn short-circuit faults and quantification of the fault severity in any faulty stator-phase winding. Moreover, since the back-EMF generated by the magnets is proportional to the rotor shaft speed, the electrical angular speed is estimated through the stator voltages measurement, without using a speed sensor. Simulation results from the three-phase PMSM dynamic model that allows considering the interturn short-circuit fault in any stator phase-windings are presented. The proposed method is validated using a three-phase PMSM prototype with modified stator windings. The robustness and the reliability of the proposal was tested for several interturn fault conditions under transient conditions including different disturbances. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017-09 |
| 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/11336/74679 Mazzoletti, Manuel Armando; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan; Espinoza-Trejo, Diego R.; A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM; Institute of Electrical and Electronics Engineers; Ieee Transactions On Industrial Electronics; 64; 9; 9-2017; 7218-7228 0278-0046 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/74679 |
| identifier_str_mv |
Mazzoletti, Manuel Armando; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan; Espinoza-Trejo, Diego R.; A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM; Institute of Electrical and Electronics Engineers; Ieee Transactions On Industrial Electronics; 64; 9; 9-2017; 7218-7228 0278-0046 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7889000/ info:eu-repo/semantics/altIdentifier/doi/10.1109/TIE.2017.2688973 |
| 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 |
Institute of Electrical and Electronics Engineers |
| publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
| dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
| instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
| reponame_str |
CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
| 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 |
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15,811543 |