MRAS and Luenberger observers using a SIFLC controller in adaptive mechanism based sensorless fuzzy logic control of induction motor

Most 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 comparison between MRAS and Luenberger observers based fuzzy logic control SIFLC type. We also present a speed sensorless fuzzy logic control (SIFLC) of induction motor (IM). This command is a powerful tool to reject disturbances. However, the chattering phenomenon presents a major disadvantage for variable structure systems. To reduce this problem, a saturation function is used to limit chattering effects. MRAS and Luenberger observers based on fuzzy logic adaptive mechanism are designed for speed estimation. These proposed schemes will allow a large reduction in computation time of such a drive and thus facilitate its implementation. Numerical simulation results of the proposed schemes illustrate the robustness against load torque disturbances and the good performance of sensorless induction motor.