微特电机 ›› 2022, Vol. 50 ›› Issue (3): 38-45.doi: 1004-7018(2022)03-0005-09

• 驱动控制 • 上一篇    下一篇

基于EKF的车用永磁同步电机无电流传感器鲁棒控制

龙吟江, 吴晓东, 王锐松   

  1. 上海交通大学 机械与动力工程学院, 上海 200240
  • 收稿日期:2021-11-24 出版日期:2022-03-21 发布日期:2022-03-21

Sensorless Robust Control of Vehicle Permanent Magnet Synchronous Motor Based on EKF

LONG Yinjiang, WU Xiaodong, WANG Ruisong   

  1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
  • Received:2021-11-24 Online:2022-03-21 Published:2022-03-21

摘要: 介绍了一种面向永磁同步电机(PMSM)的无传感器控制方法。基于矢量控制,建立了永磁同步电机控制模型,引入基于扩展卡尔曼滤波(EKF)原理的算法设计,应用于永磁同步电机无电流传感器控制。该算法不仅考虑了常规隐极式PMSM,也考虑凸极式PMSM。相对于常规的基于EKF算法的无电流传感器控制策略,引入额外的观测变量进行优化。基于Simulink平台,搭建了电机模型及其矢量控制模型,针对多个工况下,对无电流传感器EKF算法进行了仿真验证。通过引入电磁转矩作为额外的观测变量,提出了一种改变观测变量和相应观测矩阵的改进策略。结果表明,该算法具有良好的电流估计效果,系统控制性能良好,且具有较强的鲁棒性。

关键词: 永磁同步电机, 扩展卡尔曼滤波, 鲁棒性, 无电流传感器, 观测变量

Abstract: A sensorless control method for permanent magnet synchronous motors (PMSM) was introduced.Based on vector control, a PMSM control model was established, and an algorithm design based on the principle of extended Kalman filter (EKF) was introduced, which was applied to the current sensorless control of PMSM. The algorithm considered not only the conventional implicit pole PMSM, but also the salient pole PMSM. Compared with the conventional sensorless control strategy based on EKF algorithm, additional observation variables were introduced for optimization. Based on the Simulink platform, the motor model and its vector control model were built, and the current sensorless EKF algorithm was simulated and verified under multiple working conditions. By introducing electromagnetic torque as an additional observation variable, an improved strategy for changing the observation variable and the corresponding observation matrix was proposed. The results show that the algorithm has good current estimation effect, good control performance and strong robustness.

Key words: permanent magnet synchronous motor(PMSM), extended Kalman filter(EKF), robustness, current sensorless, observation variable

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