Neural network based system identification of a pmsm under load fluctuation
A neural network based approach is applied to model a PMSM. A multilayer recurrent network provides a near term fundamental current prediction using as an input the fundamental components of the voltage signals and the speed. The PMSM model proposed can be implemented in a condition based maintenanc...
- Autores:
-
Quiroga Méndez, Jabid Eduardo
Cartes, David
Edrington, Chris
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2009
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/26910
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/26910
http://bdigital.unal.edu.co/17958/
- Palabra clave:
- System
Identification
PMSM
Neural Network
Recurrent Networks.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Quiroga Méndez, Jabid Eduardofcc1628f-98b2-41ac-a88c-8befa55ca2ea300Cartes, David49624309-a265-4502-8643-9a65efb71b0b300Edrington, Chrisd5082633-27f2-40ea-bf8a-7bd0a6f75c2f3002019-06-25T23:45:11Z2019-06-25T23:45:11Z2009https://repositorio.unal.edu.co/handle/unal/26910http://bdigital.unal.edu.co/17958/A neural network based approach is applied to model a PMSM. A multilayer recurrent network provides a near term fundamental current prediction using as an input the fundamental components of the voltage signals and the speed. The PMSM model proposed can be implemented in a condition based maintenance to perform fault detection, integrity assessment and aging process. The model is validated using a 15 hp PMSM experimental setup. The acquisition system is developed using Matlab®/Simulink® with dSpace® as an interface to the hardware, i.e. PMSM drive system. The model shows generalization capabilities and a satisfactory performance in the fundamental current determination on line under no load and load fluctuations.text/htmlspaUniversidad Nacional de Colombia Sede Medellínhttp://revistas.unal.edu.co/index.php/dyna/article/view/13685Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaDyna; Vol. 76, núm. 160 (2009); 273-282 DYNA; Vol. 76, núm. 160 (2009); 273-282 2346-2183 0012-7353Quiroga Méndez, Jabid Eduardo and Cartes, David and Edrington, Chris (2009) Neural network based system identification of a pmsm under load fluctuation. Dyna; Vol. 76, núm. 160 (2009); 273-282 DYNA; Vol. 76, núm. 160 (2009); 273-282 2346-2183 0012-7353 .Neural network based system identification of a pmsm under load fluctuationArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTSystemIdentificationPMSMNeural NetworkRecurrent Networks.ORIGINAL13685-39796-1-PB.pdfapplication/pdf599132https://repositorio.unal.edu.co/bitstream/unal/26910/1/13685-39796-1-PB.pdfdfd64ef4f1ef0bc3ef7491a931fd2479MD5113685-39765-1-PB.htmtext/html40921https://repositorio.unal.edu.co/bitstream/unal/26910/2/13685-39765-1-PB.htmc046a8afeddc340ded11b01132fc6d99MD52THUMBNAIL13685-39796-1-PB.pdf.jpg13685-39796-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9185https://repositorio.unal.edu.co/bitstream/unal/26910/3/13685-39796-1-PB.pdf.jpgbb31f2bb3014a94478de280cee4c36baMD53unal/26910oai:repositorio.unal.edu.co:unal/269102022-11-06 23:03:44.873Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
| dc.title.spa.fl_str_mv |
Neural network based system identification of a pmsm under load fluctuation |
| title |
Neural network based system identification of a pmsm under load fluctuation |
| spellingShingle |
Neural network based system identification of a pmsm under load fluctuation System Identification PMSM Neural Network Recurrent Networks. |
| title_short |
Neural network based system identification of a pmsm under load fluctuation |
| title_full |
Neural network based system identification of a pmsm under load fluctuation |
| title_fullStr |
Neural network based system identification of a pmsm under load fluctuation |
| title_full_unstemmed |
Neural network based system identification of a pmsm under load fluctuation |
| title_sort |
Neural network based system identification of a pmsm under load fluctuation |
| dc.creator.fl_str_mv |
Quiroga Méndez, Jabid Eduardo Cartes, David Edrington, Chris |
| dc.contributor.author.spa.fl_str_mv |
Quiroga Méndez, Jabid Eduardo Cartes, David Edrington, Chris |
| dc.subject.proposal.spa.fl_str_mv |
System Identification PMSM Neural Network Recurrent Networks. |
| topic |
System Identification PMSM Neural Network Recurrent Networks. |
| description |
A neural network based approach is applied to model a PMSM. A multilayer recurrent network provides a near term fundamental current prediction using as an input the fundamental components of the voltage signals and the speed. The PMSM model proposed can be implemented in a condition based maintenance to perform fault detection, integrity assessment and aging process. The model is validated using a 15 hp PMSM experimental setup. The acquisition system is developed using Matlab®/Simulink® with dSpace® as an interface to the hardware, i.e. PMSM drive system. The model shows generalization capabilities and a satisfactory performance in the fundamental current determination on line under no load and load fluctuations. |
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2009 |
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2009 |
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2019-06-25T23:45:11Z |
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2019-06-25T23:45:11Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://repositorio.unal.edu.co/handle/unal/26910 |
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http://bdigital.unal.edu.co/17958/ |
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https://repositorio.unal.edu.co/handle/unal/26910 http://bdigital.unal.edu.co/17958/ |
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spa |
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http://revistas.unal.edu.co/index.php/dyna/article/view/13685 |
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Universidad Nacional de Colombia Revistas electrónicas UN Dyna Dyna |
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Dyna; Vol. 76, núm. 160 (2009); 273-282 DYNA; Vol. 76, núm. 160 (2009); 273-282 2346-2183 0012-7353 |
| dc.relation.references.spa.fl_str_mv |
Quiroga Méndez, Jabid Eduardo and Cartes, David and Edrington, Chris (2009) Neural network based system identification of a pmsm under load fluctuation. Dyna; Vol. 76, núm. 160 (2009); 273-282 DYNA; Vol. 76, núm. 160 (2009); 273-282 2346-2183 0012-7353 . |
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Derechos reservados - Universidad Nacional de Colombia |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional |
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info:eu-repo/semantics/openAccess |
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