Currently

asynchronous cage motors are among the most commonly requested machines accentuated by their extension to the field of electric vehicles. Therefore

the development of robust and sophisticated controls for this machine is of significant interest. Artificial intelligence control techniques

such as fuzzy logic

are at the forefront of recent research. However

their design becomes much more complicated for a motor via a multilevel inverter. The main purpose of this paper is to show that it is possible to achieve fuzzy logic control of a squirrel cage asynchronous motor supplied via the usual two-level inverter. This is achieved

by adopting a DTC strategy based on a sinusoidal PWM with multilevel inverter. It employs a feedback information estimator with dual structure between the sliding mode observer at low speed and the model reference adaptive system in sliding mode at high speed. For both installations

speed is regulated using a sliding mode controller.