Zerdali, EmrahBarut, Murat2024-11-072024-11-072016978-146737239-8https://doi.org/10.1109/OPTIM.2015.7426998https://hdl.handle.net/11480/109661st Joint International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2015, International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2015 and International Symposium on Advanced Electromechanical Motion Systems, ELECTROMOTION 2015 -- 2 September 2015 through 4 September 2015 -- Side -- 119924In this study, an optimized extended Kalman filter (EKF) is designed in order to achieve high performance speed-sensorless control of induction motors (IMs). The EKF algorithm estimates the stationary axis components of rotor fluxes, ?r? and ?r?, the rotor angular velocity, ?m, the rotor resistance, R?r, besides the stationary axis components of stator currents, is? and is?, which are measured as output as well. Also, an optimization process is performed using errors between measured and estimated current components to obtain satisfying estimation performance with EKF. The experimental results prove the high performance control of the proposed system. © 2015 IEEE.eninfo:eu-repo/semantics/closedAccessAlgorithmsElectric machineryElectronic equipmentExtended Kalman filtersInduction motorsOptimizationOscillators (electronic)Power electronicsCurrent componentEstimation performanceHigh performance controlOn currentsRotor fluxesRotor resistancesSpeed sensorless controlStator currentsSensorless controlConference Object38839210.1109/OPTIM.2015.74269982-s2.0-84964978449N/A