永磁同步电机全速范围内无位置传感器控制-《郑州大学学报(工学版)》

文章信息/Info

Title:: Sensorless Control of Permanent Magnet Synchronous Motor in Full Speed Range

Author(s):: Zhang Zhen; Shen Xueke; Cheng Xin; Industrial Technology Research Institute of Zhengzhou University

Keywords:: permanent magnet synchronous motor; Extended Kalman filter; Position sensorless control; High frequency signal injection

摘要:: 传统的扩展卡尔曼滤波算法已被广泛地应用于永磁同步电机无位置传感器控制系统中，该方法具有良好的动态性能，但其对转子速度和位置的估计精度依然存在问题，尤其是在电机启动和低速运行时，由于感应电势小，扩展卡尔曼算法对转子转速和位置的估算存在较大的偏差.为了解决这一问题，本文设计一种将扩展卡尔曼滤波算法与高频信号注入法相结合的复合检测方法，中高速时采用卡尔曼滤波法，零速和低速时采用高频信号注入法，而过渡区设计特殊的算法，将两种方法进行融合，实现全速域内无位置传感器高精度控制.最后仿真结果证明了基于该复合式检测算法的永磁同步电机无位置传感器矢量控制系统具有动态调节速度快，鲁棒性好等优点.

Abstract:: The traditional extended Kalman filter algorithm has been widely used in permanent magnet synchronous motor position sensorless control system. This method has good dynamic performance, but it still has problems in estimating the accuracy of rotor speed and position, especially During motor startup and low speed operation, due to the small induced potential, the extended Kalman algorithm has large deviations in the estimation of rotor speed and position. In order to solve this problem, this paper designs a comp osite detection method that combines the extended Kalman filter algorithm with high-frequency signal injection method. The Kalman filter method is used in medium and high speed, and the high frequency signal injection method is used in zero speed and low speed. The transition area is designed with a special algorithm that fuses the two methods to achieve full sensorless high-precision control in the full-speed domain. Finally, the simulation results show that the permanent magnet synchronous motor sensorless vector control system based on this hybrid detection algorithm has the advantages of fast dynamic adjustment, good robustness and so on.