Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks

Detalhes bibliográficos
Autor(a) principal: Goedlel, A.
Data de Publicação: 2008
Outros Autores: Silva, I. N., Semi, P. J. A. [UNESP], Suetake, M., IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/194700
Resumo: The 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.
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spelling Estimation of Electrical Machine Speed Using Sensorless Technology and Neural NetworksInduction MotorsNeural NetworksSystem IdentificationThe 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.Univ Technol Parana UTFPR CP, Dept Electrotech, Maringa, Parana, BrazilState Univ Sao Paulo, Dept Elect Engn, Sao Paulo, BrazilUniv Sao Paulo, Dept Elect Engn, BR-05508 Sao Paulo, BrazilState Univ Sao Paulo, Dept Elect Engn, Sao Paulo, BrazilIeeeUniv Technol Parana UTFPR CPUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Goedlel, A.Silva, I. N.Semi, P. J. A. [UNESP]Suetake, M.IEEE2020-12-10T16:34:54Z2020-12-10T16:34:54Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject871-+2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2. New York: Ieee, p. 871-+, 2008.2381-3571http://hdl.handle.net/11449/194700WOS:000263861200145Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2info:eu-repo/semantics/openAccess2021-10-22T20:11:16Zoai:repositorio.unesp.br:11449/194700Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:02:37.334844Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
title Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
spellingShingle Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
Goedlel, A.
Induction Motors
Neural Networks
System Identification
title_short Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
title_full Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
title_fullStr Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
title_full_unstemmed Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
title_sort Estimation of Electrical Machine Speed Using Sensorless Technology and Neural Networks
author Goedlel, A.
author_facet Goedlel, A.
Silva, I. N.
Semi, P. J. A. [UNESP]
Suetake, M.
IEEE
author_role author
author2 Silva, I. N.
Semi, P. J. A. [UNESP]
Suetake, M.
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Univ Technol Parana UTFPR CP
Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Goedlel, A.
Silva, I. N.
Semi, P. J. A. [UNESP]
Suetake, M.
IEEE
dc.subject.por.fl_str_mv Induction Motors
Neural Networks
System Identification
topic Induction Motors
Neural Networks
System Identification
description The 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.
publishDate 2008
dc.date.none.fl_str_mv 2008-01-01
2020-12-10T16:34:54Z
2020-12-10T16:34:54Z
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 2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2. New York: Ieee, p. 871-+, 2008.
2381-3571
http://hdl.handle.net/11449/194700
WOS:000263861200145
identifier_str_mv 2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2. New York: Ieee, p. 871-+, 2008.
2381-3571
WOS:000263861200145
url http://hdl.handle.net/11449/194700
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 871-+
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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
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