Genetic algorithm based fast speed response induction motor drive with ANN flux estimator

This paper presents a genetic algorithm based controller for poly-phase induction motor drive. The proportional and integral gain of PI controller is optimized by genetic algorithm. An adaptive recurrent neural network (RNN) is proposed to estimate the stator and rotor fluxes. An online tuning scheme to update the weight of RNN is presented to overcome stator resistance variation problem. This tuning scheme requires current sensor to calculate the current error. Simulation tests have been performed to study the dynamic performances of the drive system for both the classical PI and the genetic algorithm based controllers.