Improvement of Fast Initial Speed Estimation Using Fuzzy Logic Control Technique for Induction Motors in the Low Speed Range

Abstract

The paper presents a fast initial speed estimation method resolved by using a Fuzzy logic controller. This is applied for sensorless induction motor drives under low speed operation based on the second order differential of the secondary flux. At restarting time of an induction motor, it produces unwanted disturbance torque. This disturbance can be reduced by fast estimation based on FLC. The performance of proposed method is tested by using MATLAB/Simulink and estimation time has been compared with conventional controller like PI. Simulation results shows that FLC is more efficient than PI control.