PERFORMANCE EVALUATION OF SLIDING MODE CONTROL FOR INDUCTION MOTOR BASED ON FUZZY LUENBERGER OBSERVER AND KALMAN FILTER

Abstract

In this paper, a fuzzy Luenberger observer (LO) and a Kalman filter (KF) are combined for sensorless sliding mode control (SMC) of induction motor drives (IM). The rotor speed and flux are estimated by using the fuzzy LO and the KF respectively. The sliding mode control technique utilizes a robust control law to model uncertain and disturbances while the system in sliding mode. We use a saturation function to limit phenomenon chattering that presents the major problem to variable structure system (VSS). Simulation results are included to illustrate the performance and the robustness of the proposed control scheme in high and low speeds.