Sensorless Sliding Mode Control of Induction Motor Using Fuzzy Logic Luenberger Observer

Many industrial applications require high performance speed sensorless operation and demand new control schemes in order to obtain fast dynamic response. In this paper, we present a speed sensorless sliding mode control (SMC) of induction motor (IM). The sliding mode control is a powerful tool to reject disturbances. However, the chattering phenomenon presents a major drawback for variable structure systems. To decrease this problem, a saturation function is used to limit chattering effects. A Luenberger observer based on fuzzy logic adaptation mechanism is designed for speed estimation. Numerical simulation results of the proposed scheme illustrate the good performance of sensorless induction motor and the robustness against load torque disturbances.