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Recurrent neural network for induction motor speed estimation in industry applications

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Autor(es):
Goedtel, Alessandro ; Nunes da Silva, Ivan ; Serni, Paulo Jose Amaral ; Sandoval, F ; Camacho, C ; Puerta, A
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: CIRCUITS AND SYSTEMS FOR SIGNAL PROCESSING , INFORMATION AND COMMUNICATION TECHNOLOGIES, AND POWER SOURCES AND SYSTEMS, VOL 1 AND 2, PROCEEDINGS; v. N/A, p. 4-pg., 2006-01-01.
Resumo

Many 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. (AU)

Processo FAPESP: 03/11353-0 - Validação experimental de modelos computacionais baseados em sistemas inteligentes aplicados às máquinas elétricas rotativas
Beneficiário:Ivan Nunes da Silva
Modalidade de apoio: Auxílio à Pesquisa - Regular