A Genetic Algorithm Approach for Sensorless Speed Estimation by using Rotor Slot Harmonics

In this paper a sensorless speed estimation method with genetic algorithm for squirrel cage induction motors is presented. Sensorless speed estimation methods generally are based on motor current. Frequency spectrum of the current has components representing rotor slot harmonics. These frequency components are used to estimate the speed of the motor given the number of rotor slots. In the literature, individual algorithms have been used to calculate the speed from the rotor slot harmonics. Unlike the literature, genetic algorithm is used to extract the motor speed from rotor slot harmonics components in the proposed method. The experimental study was carried out to prove this method under steady state conditions. The experimental results show that the proposed method is suitable for sensorless speed estimation and its average error is the 0.29 rpm at 50 Hz.