FUZZY LOGIC BASED ADAPTATION MECHANISM FOR ADAPTIVE LUENBERGER OBSERVER SENSORLESS DIRECT TORQUE CONTROL OF INDUCTION MOTOR

Abstract

Many industrial applications require high performance speed sensorless operation and demand new control methods in order to obtain fast dynamic response and insensitive to external disturbances. The current research aims to present the performance of the sensorless direct torque control (DTC) of an induction motor (IM) using adaptive Luenberger observer (ALO) with fuzzy logic controller (FLC) for adaptation mechanism. The rotor speed is regulated by proportional integral (PI) anti-windup controller. The proposed strategy is directed to reduce the ripple on the torque and the flux. Numerical simulation results show the good performance and effectiveness of the proposed sensorless control for different references of the speed even both low and high speeds.

Keywords

• Sensorless direct torque control
• Induction motor
• adaptive Luenberger observer
• Fuzzy logic controller
• PI anti-windup