Non linear backstepping control using genetic algorithm of induction motorwithout speed encoder

Abstract

This paper deals with non linear backstepping control of induction motor drive without encoder. Non linear backstepping control principle is explained using system equation established in stationary reference frame. This control is based on Lyapunov theory to guarantee the convergence of the speed and flux tracking errors, and is optimized by genetic algorithm. This last model needs to obtain accurate information about the rotor flux and rotor speed, which are estimated by model reference adaptive system (MRAS) technique. The aim advantage of this scheme is that the machine control becomes more stable with an improvement of low speed performances where the torques capabilities are sufficiently developed. The simulation results show the improved drive characteristics and performances.