针对五相永磁同步电机匝间短路故障和高电阻连接故障具有相同的故障特征的问题，提出一种基于电流残差估计和高频电流对比的故障检测与分类方法。首先利用卡尔曼滤波器估计故障时交直轴电流残差来检测电机异常状况；然后利用高频时电感和电阻的特性不同，来区分匝间短路和高电阻连接故障；最后对两种故障的严重程度和故障相位进行研究。仿真结果表明，该方法能够有效诊断电机定子故障，准确识别电机匝间短路故障和高电阻连接故障，并且故障的严重程度对转速及负载变化有良好的鲁棒性。

For the problem that five-phase permanent magnet synchronous motor inter-turn short-circuit fault and high resistance connection fault have the same fault characteristics, a fault detection and classification method based on current residual estimation and high-frequency current comparison is proposed. Firstly, the Kalman filter is used to detect the abnormal condition of motor by estimating the current residual of d-q axis during fault. Then the different characteristics of inductance and resistance at high frequency are used to distinguish the inter-turn short-circuit fault and high resistance connection fault. Finally, the severity and faulty phase of the two faults are studied. Simulation results show that this method can effectively diagnose motor stator faults and accurately identify inter-turn short-circuit fault and high resistance connection fault, and the severity of the fault has good robustness against the change of speed and load.

辽宁省教育厅科学研究项目(JDL2019011,LJKZ0489);辽宁省自然科学基金资助项目(20170540141)