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    Real-Time Performance Evaluation of Extended EMF based Sensorless Drive for SPMSMs
    (IEEE, 2014) Barut, M.; Jung, S. -Y.; Mi, C.
    This paper focuses on the low speed performance of extended electromotive force (EMF) based position-sensorless speed control of surface permanent magnet synchronous motors (SPMSMs) in real-time. It is the first time Morimoto's extended EMF approach is applied to SPMSM and its low speed performance is evaluated by real-time experiments. The results obtained from the designed position-sensorless drive system embedded on dSPACE-DS1104 controller and including the SPMSM of 0.0262 Vrms/rpm show that the stable low speed estimation and position-sensorless control can be executed down to 1.4286 % of the rated speed.
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    Speed-Sensorless Direct Torque Control System Using Bi-Input Extended Kalman Filter for Induction Motors
    (IEEE, 2011) Barut, M.; Demir, R.; Zerdali, E.; Inan, R.; Ertan, HB
    In this study, a speed-sensorless direct torque control (DTC) system using bi input-extended Kalman filter (BI-EKF) is designed to perform the high performance velocity control of induction motors (IMs). The BI-EKF algorithm estimates stator stationary axis components of the stator fluxes, tpsa and tpsfl, the rotor angular velocity, omega(m) the rotor resistance, R-r', the stator resistance, R-s, the load torque involving the viscous friction term, t(L), and the reciprocal total inertia of the IM and load, gamma(T) =Delta 1/j(T), as well as stator stationary axis components of stator currents, i(s alpha) and i(s beta), which are also measured as output. The simulation results prove very satisfying performances of the BI-EKF algorithm and therefore the speed-sensorless DTC system.
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    Speed-sensorless direct torque control system using Bi-input extended Kalman filter for induction motors
    (IEEE Computer Society, 2011) Barut, M.; Demir, R.; Zerdali, E.; Inan, R.
    In this study, a speed-sensorless direct torque control (DTC) system using bi input-extended Kalman filter (BI-EKF) is designed to perform the high performance velocity control of induction motors (IMs). The BI-EKF algorithm estimates stator stationary axis components of the stator fluxes, ?sa and ?sß, the rotor angular velocity, ?m, the rotor resistance, R'r, the stator resistance, Rs, the load torque involving the viscous friction term, tL, and the reciprocal total inertia of the IM and load, ?? = 1/jT, as well as stator stationary axis components of stator currents, is? and isß, which are also measured as output. The simulation results prove very satisfying performances of the BI-EKF algorithm and therefore the speed-sensorless DTC system. © 2011 IEEE.