Intelligent system based speed estimation of induction motors for industrial sensorless schemes

Autor(es)

Goedtel, Alessandro ; da Silva, Ivan N. ; Serni, Paulo J. A. ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: PROCEEDINGS OF THE 2007 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-3; v. N/A, p. 2-pg., 2007-01-01.

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 involved in 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 artificial neural networks to estimate one of the most important variables in the induction motor control schemes: the speed. Simulation results are 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