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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/70676
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dc.contributor.authorGoedtel, A.-
dc.contributor.authorSilva, I. N.-
dc.contributor.authorSerni, P. J A-
dc.contributor.authorSuetake, M.-
dc.date.accessioned2014-05-27T11:23:43Z-
dc.date.accessioned2016-10-25T18:26:15Z-
dc.date.available2014-05-27T11:23:43Z-
dc.date.available2016-10-25T18:26:15Z-
dc.date.issued2008-12-01-
dc.identifierhttp://dx.doi.org/10.1109/TDC-LA.2008.4641832-
dc.identifier.citation2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA.-
dc.identifier.urihttp://hdl.handle.net/11449/70676-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/70676-
dc.description.abstractThe use of sensorless technologies is an increasing tendency on industrial drivers 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 related to this process. The cost reduction may also be considered in industrial drivers, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes the use of a recurrent artificial neural network to estimate the speed of induction motor for sensorless control schemes using one single current sensor. Simulation and experimental results are presented to validate the proposed approach. ©2008 IEEE.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectInduction motors-
dc.subjectNeural networks-
dc.subjectSystem identification-
dc.subjectCurrent sensors-
dc.subjectElectrical machine-
dc.subjectMechanical parameters-
dc.subjectRecurrent artificial neural networks-
dc.subjectSensorless-
dc.subjectSensorless control scheme-
dc.subjectIdentification (control systems)-
dc.subjectMotors-
dc.subjectRecurrent neural networks-
dc.subjectSensor networks-
dc.titleEstimation of electrical machine speed using sensorless technology and neural networksen
dc.typeoutro-
dc.contributor.institutionUniversity of Technology - Paraná (UTFPR-CP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartment of Electrotechnical University of Technology - Paraná (UTFPR-CP)-
dc.description.affiliationDepartment of Electrical Engineering University of São Paulo (USP)-
dc.description.affiliationDepartment of Electrical Engineering State University of São Paulo (UNESP)-
dc.description.affiliationUnespDepartment of Electrical Engineering State University of São Paulo (UNESP)-
dc.identifier.doi10.1109/TDC-LA.2008.4641832-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA-
dc.identifier.scopus2-s2.0-67650475717-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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