针对永磁同步电机(PMSM)驱动系统中电流传感器的典型故障，提出一种基于二次差分的电流传感器故障诊断方法。该方法通过判断电流残差与阈值的关系定位故障传感器，通过计算电流传感器输出电流的二次差分和周期电流积分识别故障类型。该方法能够准确识别出电流传感器的四种典型故障类型，为故障后的容错及维修提供准确信息，且由于对电流残差进行了周期性重构，增强了算法的鲁棒性。仿真和试验结果表明，该方法能够准确定位并识别故障传感器，且对参数不匹配及电流扰动具有较好的鲁棒性。

Aiming at the typical faults of current sensors in permanent magnet synchronous motor (PMSM) drive system, a fault diagnosis method of current sensors based on the second-order difference is proposed. The fault sensor is located by judging the relationship between the current residual and the threshold, and the fault type is identified by calculating the second-order difference and periodic current integral of the output current. The proposed method can accurately identify four typical current sensor faults, providing accurate information for fault tolerance and maintenance. Meanwhile, the robustness of the algorithm is enhanced due to the periodic reconstruction of current residual. Simulation and experimental results show that the proposed method can locate and identify fault sensors accurately, and it is robust to parameter mismatches and current disturbances.

国家自然科学基金项目（52107059）；中国博士后科学基金项目（2020M673282）