Neural approach for speed estimation in induction motors

Detalhes bibliográficos
Autor(a) principal: Goedtel, Alessandro
Data de Publicação: 2007
Outros Autores: Silva, Ivan N., Serni, Paulo J. A. [UNESP], Nascimento, Claudionor F.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISDA.2007.4389667
http://hdl.handle.net/11449/219467
Resumo: The use ofsensor less technologies is an increasing tendency on industrial drives for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very frequently in order to avoid measurement of all variables involved in this process. The cost reduction may also be considered in industrial drives, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes the use of artificial neural networks to estimate one of the most important variables in the induction motor control schemes: the speed. Simulation and experimental results are presented to validate the proposed approach. © 2007 IEEE.
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spelling Neural approach for speed estimation in induction motorsThe use ofsensor less technologies is an increasing tendency on industrial drives for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very frequently in order to avoid measurement of all variables involved in this process. The cost reduction may also be considered in industrial drives, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes the use of artificial neural networks to estimate one of the most important variables in the induction motor control schemes: the speed. Simulation and experimental results are presented to validate the proposed approach. © 2007 IEEE.Federal University of Technology - Parana UTFPR-CP, Cornélio Procópio, PRUniversity of São Paulo EESC-USP, São Carlos, SPState University of São Paulo FEB-UNESP, Bauru, SPState University of São Paulo FEB-UNESP, Bauru, SPUTFPR-CPUniversidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Goedtel, AlessandroSilva, Ivan N.Serni, Paulo J. A. [UNESP]Nascimento, Claudionor F.2022-04-28T18:55:45Z2022-04-28T18:55:45Z2007-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject561-566http://dx.doi.org/10.1109/ISDA.2007.4389667Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007, p. 561-566.http://hdl.handle.net/11449/21946710.1109/ISDA.2007.43896672-s2.0-48349096419Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007info:eu-repo/semantics/openAccess2022-04-28T18:55:45Zoai:repositorio.unesp.br:11449/219467Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T18:55:45Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Neural approach for speed estimation in induction motors
title Neural approach for speed estimation in induction motors
spellingShingle Neural approach for speed estimation in induction motors
Goedtel, Alessandro
title_short Neural approach for speed estimation in induction motors
title_full Neural approach for speed estimation in induction motors
title_fullStr Neural approach for speed estimation in induction motors
title_full_unstemmed Neural approach for speed estimation in induction motors
title_sort Neural approach for speed estimation in induction motors
author Goedtel, Alessandro
author_facet Goedtel, Alessandro
Silva, Ivan N.
Serni, Paulo J. A. [UNESP]
Nascimento, Claudionor F.
author_role author
author2 Silva, Ivan N.
Serni, Paulo J. A. [UNESP]
Nascimento, Claudionor F.
author2_role author
author
author
dc.contributor.none.fl_str_mv UTFPR-CP
Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Goedtel, Alessandro
Silva, Ivan N.
Serni, Paulo J. A. [UNESP]
Nascimento, Claudionor F.
description The use ofsensor less technologies is an increasing tendency on industrial drives for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very frequently in order to avoid measurement of all variables involved in this process. The cost reduction may also be considered in industrial drives, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes the use of artificial neural networks to estimate one of the most important variables in the induction motor control schemes: the speed. Simulation and experimental results are presented to validate the proposed approach. © 2007 IEEE.
publishDate 2007
dc.date.none.fl_str_mv 2007-12-01
2022-04-28T18:55:45Z
2022-04-28T18:55:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ISDA.2007.4389667
Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007, p. 561-566.
http://hdl.handle.net/11449/219467
10.1109/ISDA.2007.4389667
2-s2.0-48349096419
url http://dx.doi.org/10.1109/ISDA.2007.4389667
http://hdl.handle.net/11449/219467
identifier_str_mv Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007, p. 561-566.
10.1109/ISDA.2007.4389667
2-s2.0-48349096419
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 561-566
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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