Load torque estimation in induction motors using artificial neural networks

Detalhes bibliográficos
Autor(a) principal: Goedtel, Alessandro [UNESP]
Data de Publicação: 2002
Outros Autores: Nunes Da Silva, Ivan [UNESP], Serni, Paulo Jose Amaral [UNESP], Avolio, Edwin [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/224237
Resumo: The induction motors are largely used in several industry sectors. The dimensioning of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal of this paper is to use artificial neural networks as tool for dimensioning of induction motors rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach.
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spelling Load torque estimation in induction motors using artificial neural networksThe induction motors are largely used in several industry sectors. The dimensioning of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal of this paper is to use artificial neural networks as tool for dimensioning of induction motors rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach.State Univ. of Sao Paulo - UNESP UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SPState Univ. of Sao Paulo - UNESP UNESP/FE/DEE, CP 473, CEP 17033-360 Bauru - SPUniversidade Estadual Paulista (UNESP)Goedtel, Alessandro [UNESP]Nunes Da Silva, Ivan [UNESP]Serni, Paulo Jose Amaral [UNESP]Avolio, Edwin [UNESP]2022-04-28T19:55:27Z2022-04-28T19:55:27Z2002-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1379-1384Proceedings of the International Joint Conference on Neural Networks, v. 2, p. 1379-1384.http://hdl.handle.net/11449/2242372-s2.0-0036086548Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the International Joint Conference on Neural Networksinfo:eu-repo/semantics/openAccess2024-06-28T13:34:43Zoai:repositorio.unesp.br:11449/224237Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:11:54.766285Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Load torque estimation in induction motors using artificial neural networks
title Load torque estimation in induction motors using artificial neural networks
spellingShingle Load torque estimation in induction motors using artificial neural networks
Goedtel, Alessandro [UNESP]
title_short Load torque estimation in induction motors using artificial neural networks
title_full Load torque estimation in induction motors using artificial neural networks
title_fullStr Load torque estimation in induction motors using artificial neural networks
title_full_unstemmed Load torque estimation in induction motors using artificial neural networks
title_sort Load torque estimation in induction motors using artificial neural networks
author Goedtel, Alessandro [UNESP]
author_facet Goedtel, Alessandro [UNESP]
Nunes Da Silva, Ivan [UNESP]
Serni, Paulo Jose Amaral [UNESP]
Avolio, Edwin [UNESP]
author_role author
author2 Nunes Da Silva, Ivan [UNESP]
Serni, Paulo Jose Amaral [UNESP]
Avolio, Edwin [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Goedtel, Alessandro [UNESP]
Nunes Da Silva, Ivan [UNESP]
Serni, Paulo Jose Amaral [UNESP]
Avolio, Edwin [UNESP]
description The induction motors are largely used in several industry sectors. The dimensioning of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal of this paper is to use artificial neural networks as tool for dimensioning of induction motors rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach.
publishDate 2002
dc.date.none.fl_str_mv 2002-01-01
2022-04-28T19:55:27Z
2022-04-28T19:55:27Z
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 Proceedings of the International Joint Conference on Neural Networks, v. 2, p. 1379-1384.
http://hdl.handle.net/11449/224237
2-s2.0-0036086548
identifier_str_mv Proceedings of the International Joint Conference on Neural Networks, v. 2, p. 1379-1384.
2-s2.0-0036086548
url http://hdl.handle.net/11449/224237
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the International Joint Conference on Neural Networks
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1379-1384
dc.source.none.fl_str_mv Scopus
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
_version_ 1808128242063769600

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