NEURO-FUZZY CONTROL OF A DUAL STAR INDUCTION MACHINE

Abstract

This paper presents a new approach to the speed control of dual star induction machine (DSIM). The new technique uses a Neuro-Fuzzy Control (NFC) with an indirect field oriented method. For realize a control of this machine, two voltage source inverters of PWM techniques are introduced. Simulation results are presented for NFC controller, the results are compared with the results obtain from a Proportional Integral (PI) controller. It is observed that the NFC controller give better responses and robustness for the speed control of this machine with introduces load disturbances and parameters variations, such as an increased rotor resistance and moment of inertia.