Adaptive fuzzy mimo control of induction motors

This paper presents a new adaptive fuzzy control technique applied to induction motors (IM). The control task of such motors is considered complicated by the fact that these motors have uncertain time-varying parameters and are subjected to unknown load disturbance. A nonlinear multi-input multi-output (MIMO) state feedback linearizing control is designed for the IM modeled in a stationary reference frame. An adaptive fuzzy controller is proposed to estimate the unknown nonlinear functions that appear in the state feedback input–output linearizing control. Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.