针对运行环境恶劣的无位置传感器高速永磁同步电机(HSPMSM)系统，无位置传感器算法的参数依赖性是热门研究方向之一。研究了一种基于估计旋转坐标系下扩展反电动势的无位置传感器算法，利用系统稳定性分析法对算法模型的电机参数依赖性进行了定性分析。通过建立四阶扩展卡尔曼滤波观测器对电机参数进行在线辨识，并结合参数依赖性规律，实时修正位置观测器算法模型中的电机参数，有效解决了运行过程中参数变化导致系统失稳的问题。在额定功率、转速分别为60 kW与45 000 r/min的高速离心压气机系统中通过仿真验证了所提方法的有效性。

For the sensorless high-speed permanent magnet synchronous motor (HSPMSM) system with harsh operating environment, the parameter dependence of the sensorless algorithm deserves to disscuss. A position sensorless algorithm based on estimating the extended back electromotive force (EMF) in a rotating coordinate system is studied, and the system stability analysis method is used to qualitatively analyze the motor parameter dependence of the algorithm. By establishing a fourth-order extended Kalman observer to identify the motor parameters online and combining the parameter dependence law, the motor parameters in the position observer algorithm model are adjusted in real time, which effectively solves the problem of system instability caused by parameter changes during operation. The effectiveness of the method proposed is verified on the high-speed centrifugal compressor control platform with rated power and speed of 60 kW and 45 000 r/min, respectively.

国家自然科学基金项目（52077100）