An extended Kalman filter based sensorless direct vector control of induction motors

Abstract

In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.