Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniv Technol Parana UTFPR CP-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorGoedlel, A.-
Autor(es): dc.creatorSilva, I. N.-
Autor(es): dc.creatorSemi, P. J. A. [UNESP]-
Autor(es): dc.creatorSuetake, M.-
Autor(es): dc.creatorIEEE-
Data de aceite: dc.date.accessioned2022-02-22T00:03:37Z-
Data de disponibilização: dc.date.available2022-02-22T00:03:37Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2008-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/194700-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/194700-
Descrição: dc.descriptionThe 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.-
Descrição: dc.descriptionUniv Technol Parana UTFPR CP, Dept Electrotech, Maringa, Parana, Brazil-
Descrição: dc.descriptionState Univ Sao Paulo, Dept Elect Engn, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Dept Elect Engn, BR-05508 Sao Paulo, Brazil-
Descrição: dc.descriptionState Univ Sao Paulo, Dept Elect Engn, Sao Paulo, Brazil-
Formato: dc.format871-+-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectInduction Motors-
Palavras-chave: dc.subjectNeural Networks-
Palavras-chave: dc.subjectSystem Identification-
Título: dc.titleEstimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks-
Aparece nas coleções:Repositório Institucional - Unesp

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