You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/69248
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGoedtel, Alessandro-
dc.contributor.authorDa Silva, Ivan Nunes-
dc.contributor.authorSerni, Paulo José Amaral-
dc.date.accessioned2014-05-27T11:22:03Z-
dc.date.accessioned2016-10-25T18:23:00Z-
dc.date.available2014-05-27T11:22:03Z-
dc.date.available2016-10-25T18:23:00Z-
dc.date.issued2006-12-01-
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.urihttp://hdl.handle.net/11449/69248-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/69248-
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.format.extent1134-1137-
dc.language.isoeng-
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.typeoutro-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
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.identifier.doi10.1109/MELCON.2006.1653300-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofProceedings of the Mediterranean Electrotechnical Conference - MELECON-
dc.identifier.scopus2-s2.0-34047160114-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.