Compact artificial neural network for induction motor speed estimation

The use of sensorless technologies is an increasing tendency on industrial drives for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is very frequently used in order to avoid measurement of all variables involved in this process. The cost reduction may also be considered in industrial drives, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes a reduced artificial neural network structure 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.