Actas de congresos
Intelligent system based speed estimation of induction motors for industrial sensorless schemes
Fecha
2007-12-01Registro en:
Proceedings of the IEEE International Conference on Control Applications, p. 1108-1112.
10.1109/CCA.2007.4389382
2-s2.0-43049170374
Autor
IEEE
Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
Institución
Resumen
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. © 2007 IEEE.