High-speed Permanent Magnet Synchronous Motor Sensorless Control Based on Stator Current Prediction

Two practical methods for fast optimizing the position of the high-speed permanent magnet synchronous motor (HSPMSM) are proposed in this paper, utilizing the prediction methodology. They directly use the characteristics of the predicted stator current to demodulate the estimated position, without obtaining the back electromotive force (EMF) first and secondary judgment. Both can simplify the sensorless control algorithm while ensuring precise position estimation, which are more conducive to the digital realization of HSPMSM sensorless control. The performances of the proposed methods are verified on a 1.1kW, 30000r/min HSPMSM experimental platform, and compared with the traditional finite position set-phase locked loop (FPS-PLL) and the common adaptive sliding mode observer (ASMO). The experimental results prove the validity of the proposed methods for HSPMSM sensorless control.