Direct Torque Control of Induction Motors Using a Fuzzy Inference System for Reduced Ripple Torque and Current Limitation

Abstract

In this work a fuzzy inference system is employed for the control of a PWM based direct torque control (DTC), driving an induction machine, to reduce ripple torque while limiting the current during start-up or when the stator flux magnitude changes. The proposed control scheme uses a fuzzy inference system to modulate the stator voltage vector applied to the induction motor, in magnitude and phase. This scheme allows for amplitude regulation according to the requirements of ripple reduction or stator current limitation. The proposed scheme performance was analyzed using simulation programs written in the C computer language and executed on a prototype system called PLATAFORMA III, developed by the SIEP Group at Universidad Simon Bolivar