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Recurrent neural network for induction motor speed estimation in industry applications

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dc.contributor.authorGoedtel, Alessandro
dc.contributor.authorDa Silva, Ivan Nunes
dc.contributor.authorSerni, Paulo José Amaral [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:22:03Z
dc.date.available2014-05-27T11:22:03Z
dc.date.issued2006-12-01
dc.description.abstractMany 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.en
dc.description.affiliationDepartment of Electrical Engineering University of São Paulo - USP, CP 359, São Carlos, SP
dc.description.affiliationDepartment of Electrical Engineering São Paulo State University - UNESP, CP 473, Bauru, SP
dc.description.affiliationUnespDepartment of Electrical Engineering São Paulo State University - UNESP, CP 473, Bauru, SP
dc.format.extent1134-1137
dc.identifierhttp://dx.doi.org/10.1109/MELCON.2006.1653300
dc.identifier.citationProceedings of the Mediterranean Electrotechnical Conference - MELECON, v. 2006, p. 1134-1137.
dc.identifier.doi10.1109/MELCON.2006.1653300
dc.identifier.lattes4831789901823849
dc.identifier.orcid0000-0002-9984-9949
dc.identifier.scopus2-s2.0-34047160114
dc.identifier.urihttp://hdl.handle.net/11449/69248
dc.language.isoeng
dc.relation.ispartofProceedings of the Mediterranean Electrotechnical Conference - MELECON
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectComputer simulation
dc.subjectElectric drives
dc.subjectFeedback control
dc.subjectIndustrial applications
dc.subjectRecurrent neural networks
dc.subjectSpeed control
dc.subjectInduction motor feedback
dc.subjectRMS voltage
dc.subjectSensorless technologies
dc.subjectInduction motors
dc.titleRecurrent neural network for induction motor speed estimation in industry applicationsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
unesp.author.lattes4831789901823849[3]
unesp.author.orcid0000-0002-9984-9949[3]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Baurupt
unesp.departmentEngenharia Elétrica - FEBpt

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Bauru - FEB - Faculdade de Engenharia