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The industrialists want a minimum of sensors to improve reliability and cost. Performances are then decreasing for systems with variable parameters or direct-drive. Moreover, flexibility in a such system has not to be neglected for an accurate control. This paper proposes solutions to quickly and accurately tune a control loop including LQ state feedback and Kalman observer. Both items are with special...
This paper proposes a solution to tune an observer keeping robust closed loop performances for the sensorless motion control of an uncertain mechanical load directly driven by a PMSM through a flexible axis. An evolutionary algorithm optimizes the observers degrees of freedom. Experiments show that performances are effectively maintained.
In this paper, a non-linear controller is presented for permanent magnet synchronous motor (PMSM) sensorless drives. The non-linear controller is designed based on an input-output feedback linearization control technique. The extended Kalman filter is used to estimate the speed, position and load torque. The PMSM is fed by an indirect power electronics converter. This indirect converter is controlled...
There are big ripples on current and flux linkage and electromagnet torque under traditional direct torque control (DTC) on motor drive system. To solve these problems, fuzzy controller is designed to instead traditional hysteretic comparator, and zero voltage vectors are used to further reduce ripples. Rotor speed is estimated online by extended Kalman filter (EKF) algorithm. Speed sensorless DTC...
This paper presents a robust sensorless Direct Torque Control (DTC) method for induction motor (IM) for estimation of stator flux components and rotor speed based on the Modified Kalman Filter (MKF). The model of IM and its MKF models in Matlab /Simulink simulation environment are developed. The proposed MKF speed and flux estimation method is also proved insensitive to the IM parameter variations...
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