基于滑模信息融合的内置式永磁同步电机退磁故障诊断策略

Demagnetization Fault Diagnosis Strategy for Interior Permanent Magnet Synchronous Motors Based on Sliding-Mode Information Fusion

摘要:

提出了一种基于滑模信息融合的永磁同步电机退磁故障诊断策略。首先，构建了永磁同步电机的退磁故障模型；其次，提出了一种基于滑窗均值误差的电机退磁故障监测方法，利用电流数据构造出监测指标。再次，提出了一种基于滑模信息融合的退磁故障诊断方法，集成电流滑模指标，实现对退磁故障的定位。最后，在基于硬件在环的电机实验平台上对所提方法进行了验证，结果表明，该策略能够快速准确地诊断出在不同运行状态下的退磁故障。

Abstract:

This paper proposes a demagnetization fault diagnosis strategy based on sliding mode information fusion for permanent magnet synchronous motors. First， a demagnetization fault model for interior permanent magnet synchronous motor is developed. Next， a motor demagnetization fault monitoring method based on the sliding window mean error is proposed， utilizing monitoring indicators constructed from current data. Finally， a demagnetization fault diagnosis method based on sliding mode information integration is introduced， integrating multiple sliding mode indicators to locate demagnetization faults. The proposed method is validated on a hardware-in-the-loop motor experimental platform. The result shows that this strategy can quickly and accurately diagnose demagnetization faults under different operating conditions.