Recurrent neural network for induction motor speed estimation in industry applications

Detalhes bibliográficos
Autor(a) principal: Goedtel, Alessandro
Data de Publicação: 2006
Outros Autores: Da Silva, Ivan Nunes, Serni, Paulo José Amaral [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/MELCON.2006.1653300
http://hdl.handle.net/11449/69248
Resumo: Many electronic drivers for the induction motor control are based on sensorless technologies. The proposal of this work Is to present an alternative approach of speed estimation, from transient to steady state, using artificial neural networks. The inputs of the network are the RMS voltage, current and speed estimated of the induction motor feedback to the input with a delay of n samples. Simulation results are also presented to validate the proposed approach. © 2006 IEEE.
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spelling Recurrent neural network for induction motor speed estimation in industry applicationsComputer simulationElectric drivesFeedback controlIndustrial applicationsRecurrent neural networksSpeed controlInduction motor feedbackRMS voltageSensorless technologiesInduction motorsMany electronic drivers for the induction motor control are based on sensorless technologies. The proposal of this work Is to present an alternative approach of speed estimation, from transient to steady state, using artificial neural networks. The inputs of the network are the RMS voltage, current and speed estimated of the induction motor feedback to the input with a delay of n samples. Simulation results are also presented to validate the proposed approach. © 2006 IEEE.Department of Electrical Engineering University of São Paulo - USP, CP 359, São Carlos, SPDepartment of Electrical Engineering São Paulo State University - UNESP, CP 473, Bauru, SPDepartment of Electrical Engineering São Paulo State University - UNESP, CP 473, Bauru, SPUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Goedtel, AlessandroDa Silva, Ivan NunesSerni, Paulo José Amaral [UNESP]2014-05-27T11:22:03Z2014-05-27T11:22:03Z2006-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1134-1137http://dx.doi.org/10.1109/MELCON.2006.1653300Proceedings of the Mediterranean Electrotechnical Conference - MELECON, v. 2006, p. 1134-1137.http://hdl.handle.net/11449/6924810.1109/MELCON.2006.16533002-s2.0-3404716011448317899018238490000-0002-9984-9949Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the Mediterranean Electrotechnical Conference - MELECONinfo:eu-repo/semantics/openAccess2024-06-28T13:34:35Zoai:repositorio.unesp.br:11449/69248Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:46:36.489932Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Recurrent neural network for induction motor speed estimation in industry applications
title Recurrent neural network for induction motor speed estimation in industry applications
spellingShingle Recurrent neural network for induction motor speed estimation in industry applications
Goedtel, Alessandro
Computer simulation
Electric drives
Feedback control
Industrial applications
Recurrent neural networks
Speed control
Induction motor feedback
RMS voltage
Sensorless technologies
Induction motors
title_short Recurrent neural network for induction motor speed estimation in industry applications
title_full Recurrent neural network for induction motor speed estimation in industry applications
title_fullStr Recurrent neural network for induction motor speed estimation in industry applications
title_full_unstemmed Recurrent neural network for induction motor speed estimation in industry applications
title_sort Recurrent neural network for induction motor speed estimation in industry applications
author Goedtel, Alessandro
author_facet Goedtel, Alessandro
Da Silva, Ivan Nunes
Serni, Paulo José Amaral [UNESP]
author_role author
author2 Da Silva, Ivan Nunes
Serni, Paulo José Amaral [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Goedtel, Alessandro
Da Silva, Ivan Nunes
Serni, Paulo José Amaral [UNESP]
dc.subject.por.fl_str_mv Computer simulation
Electric drives
Feedback control
Industrial applications
Recurrent neural networks
Speed control
Induction motor feedback
RMS voltage
Sensorless technologies
Induction motors
topic Computer simulation
Electric drives
Feedback control
Industrial applications
Recurrent neural networks
Speed control
Induction motor feedback
RMS voltage
Sensorless technologies
Induction motors
description Many electronic drivers for the induction motor control are based on sensorless technologies. The proposal of this work Is to present an alternative approach of speed estimation, from transient to steady state, using artificial neural networks. The inputs of the network are the RMS voltage, current and speed estimated of the induction motor feedback to the input with a delay of n samples. Simulation results are also presented to validate the proposed approach. © 2006 IEEE.
publishDate 2006
dc.date.none.fl_str_mv 2006-12-01
2014-05-27T11:22:03Z
2014-05-27T11:22:03Z
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/MELCON.2006.1653300
Proceedings of the Mediterranean Electrotechnical Conference - MELECON, v. 2006, p. 1134-1137.
http://hdl.handle.net/11449/69248
10.1109/MELCON.2006.1653300
2-s2.0-34047160114
4831789901823849
0000-0002-9984-9949
url http://dx.doi.org/10.1109/MELCON.2006.1653300
http://hdl.handle.net/11449/69248
identifier_str_mv Proceedings of the Mediterranean Electrotechnical Conference - MELECON, v. 2006, p. 1134-1137.
10.1109/MELCON.2006.1653300
2-s2.0-34047160114
4831789901823849
0000-0002-9984-9949
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the Mediterranean Electrotechnical Conference - MELECON
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1134-1137
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
_version_ 1808128274506711040

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