Induction Motor Position Servo Drives with Rotor Resistance Compensation

Abstract This paper presents an indirect field-oriented (EFO) induction motor position servo drives which uses the model following adaptive controller with the artificial neural network (ANN)-based rotor resistance estimator. The model reference adaptive system (MRAS)-based 2-layer ANN estimates the rotor resistance on-line and a linear model following position controller is designed by using the estimated rotor resistance value. At the end, a fuzzy logic system (FLS) is added to make the position controller robust to the external disturbances and the parameter variations. The simulation results show the effectiveness of the proposed method.