Full-Speed-Range Sensorless Control of High-Speed Permanent Magnet Synchronous Motor Based on the Prediction Methodology

In this paper, a high-speed permanent magnet synchronous motor (HSPMSM) full-speed-range sensorless control strategy is proposed based on the prediction methodology. By leveraging the predictive idea, on the one hand, this strategy generates an error current that encompasses position information, from which the speed and position are directly demodulated during the start stage to adjust the given current vector in real time. It effectively reduces motor speed fluctuations at startup, enhances system anti-interference, and seamlessly transitions from the start algorithm to the double closed-loop sensorless control algorithm. On the other hand, it establishes the relationship between the position estimation error and the predicted current and the measured current, aiming to enhance the position estimation precision and optimize the HSPMSM double closed-loop sensorless control performance. Importantly, this strategy does not need the additional voltage sensors for the instantaneous power and can obtain the total position estimation error without supplementary controller design, which is highly practical. The control performance of the proposed strategy is verified on a 1.1 kW, 30000 r/min HSPMSM experimental platform, and compared with the traditional method. The experimental results prove the feasibility and effectiveness of the proposed strategy.