Model following adaptive controller with RNN-based rotor resistance estimator for induction motor drives

This paper presents an indirect field-oriented (IFO) induction motor position servo drives which uses the model following adaptive controller with the recurrent neural network (RNN)-based rotor resistance estimator. The model reference adaptive system (MRAS)-based 2-layer RNN 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.