Speed-sensorless induction motor drive with unscented Kalman filter including the estimations of load torque and rotor resistance

In this paper, an unscented Kalman filter (UKF) based speed-sensorless vector control of induction motors (IMs) have been implemented for a wide speed range including zero-speed. The proposed UKF simultaneously estimates stator stationary axis components of stator currents and rotor fluxes, rotor mechanical speed, load torque including viscous friction term, and rotor resistance. The effectiveness of the introduced UKF algorithm and thus the speed-sensorless IM drive are verified by computer simulations consisting of different challenging scenarios. From this point of view, it is the first speed-sensorless IM drive in the literature to utilize the UKF algorithm including the simultaneous estimations of stator currents, rotor fluxes, rotor mechanical speed, load torque including viscous friction term, and rotor resistance in simulation.