Demir, RidvanBarut, MuratYildiz, RecepInan, RemziZerdali, Emrah2024-11-072024-11-072017978-150904489-4https://doi.org/10.1109/OPTIM.2017.7974999https://hdl.handle.net/11480/11009The 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 -- 129145This study presents the direct torque controlled induction motor (IM) drive utilizing a novel extended Kalman filter (EKF) that simultaneously estimates stator stationary axis components of stator currents and stator fluxes in addition to rotor and stator resistances with the assumption of available stator voltages/currents and rotor speed. Thus, it is desired to show that the on-line estimations of rotor and stator resistances are possible by using a single EKF algorithm in the case with speed-sensor. Performances of the proposed EKF are tested under challenging scenarios generated in simulations. The obtained results confirm very satisfying performances of the introduced EKF algorithm and thus the IM drive. © 2017 IEEE.eninfo:eu-repo/semantics/closedAccessElectric machineryElectronic equipmentInduction motorsKalman filtersOptimizationOscillators (electronic)Power electronicsStatorsTorque controlDirect torqueDirect torque controlOn-line estimationRotor and statorsRotor speedSpeed sensorsStator currentsStator voltagesExtended Kalman filtersConference Object37638110.1109/OPTIM.2017.79749992-s2.0-85027726439N/A