Yildiz, RecepBarut, MuratZerdali, EmrahInan, RemziDemir, Ridvan2024-11-072024-11-072017978-150904489-4https://doi.org/10.1109/OPTIM.2017.7975011https://hdl.handle.net/11480/11010The Institute of Electrical Engineers of Japan; The Korean Institution of Power Electronics2nd International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017 -- 25 May 2017 through 27 May 2017 -- Brasov -- 129145In this study, speedsensorless IM drive based on unscented Kalman filter (UKF) with the online estimations of stator stationary axis components of stator currents, rotor fluxes, rotor mechanical speed, load torque including the friction term, and stator resistance is designed. Therefore, the proposed speedsensorless IM drive is robust to load torque and stator resistance changes. Different challenging scenarios including ramp-And step-Type variations in load torque and stator resistance at both zero and high speeds are performed in computer simulations to demonstrate the superiority of the proposed UKF based speedsensorless drive. © 2017 IEEE.eninfo:eu-repo/semantics/closedAccessBandpass filtersElectric machineryElectronic equipmentInduction motorsKalman filtersOscillators (electronic)Power electronicsStatorsTorqueTorque measurementFriction termOn-line estimationSpeed sensorless controlSpeed-sensor lessStator currentsStator resistanceStator resistance estimationUnscented Kalman FilterSensorless controlConference Object45646110.1109/OPTIM.2017.79750112-s2.0-85027684973N/A