Journal of Engineering Research

The sensorless control technology has been increasingly widely applied in permanent magnet synchronous motors. However, its stability issue has become a key factor restricting the further development of this technology. Aiming at this challenge, this paper explores the methods to improve the system stability by optimizing the algorithm, improving the hardware design, and adopting advanced signal processing techniques. Firstly, the limitations of the existing technology are analyzed. Then, a novel solution based on model predictive control is proposed to enhance the dynamic response and robustness of the system. The experimental results show that the proposed improvement measures significantly improve the stability and performance of the system, providing new ideas for achieving more reliable and efficient motor control.

Permanent Magnet Synchronous Motor; Sensorless Control; Stability Improvement; Model Predictive Control