摘要
为实现永磁同步电机(permanent magnet synchronous motor,PMSM)失磁故障模拟与失磁故障程度诊断,提出一种基于改进的动态时间规整(dynamic time warping,DTW)算法的故障波形诊断方法。首先,对永磁同步电机进行机理分析和模拟,采集不同程度失磁故障下的电机转速波形数据集。其次,使用改进DTW算法拟合失磁故障程度最佳路径曲线方程。然后,根据定子电流的频率谐波分量确定电机是否发生失磁故障。最后,使用改进DTW算法对失磁故障波形数据进行故障程度诊断。实验表明,该方法对故障波形数据进行处理后,可以快速准确地计算出故障波形的故障程度,该方法具备较强的稳定性和实时性。
To simulate magnetization loss fault and diagnose the degree of magnetization loss fault in permanent magnet synchronous motor(PMSM),a fault waveform diagnosis method based on an improved dynamic time warping(DTW)algorithm was proposed.Firstly,the mechanism analysis and simulation of the PMSM were carried out,and a waveform dataset of the motor speed under different levels of magnetization loss fault was collected.Secondly,the improved DTW algorithm was employed to fit the optimal path curve equations of different degrees of magnetization loss fault.Then,according to the frequency harmonic component of the stator current,it was determined whether the motor has a demagnetization fault.Finally the improved DTW algorithm was used to diagnose the degree of failure from the waveform data of the demagnetization fault.The experiment shows that the method can quickly and accurately calculate the fault degree of the waveform after processing the fault waveform data,with strong stability and real-time property.
作者
尹进田
何志龙
刘丽
邵武
YIN Jintian;HE Zhilong;LIU Li;SHAO Wu(Hunan Engineering Technology Research Center of Special Equipment Electric Energy Conversion and Control,Shaoyang University,Shaoyang 422000,China;Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area,Shaoyang University,Shaoyang 422000,China)
出处
《邵阳学院学报（自然科学版）》
2024年第4期1-10,共10页
Journal of Shaoyang University：Natural Science Edition
基金
湖南省自然科学基金项目(2023JJ50270,2023JJ50267,2023JJ50263)
湖南省教育厅重点项目(23A0543),邵阳市科技计划项目(2022GZ3034)
湖南省科技计划项目(2016TP1023)
湖南省2022年度教育科学规划课题(ND228480)
邵阳学院研究生创新项目(CX2023SY054)。
关键词
永磁同步电机
失磁故障
故障程度诊断
改进的动态时间规整算法
permanent magnet synchronous motor(PMSM)
magnetization loss fault
fault degree diagnosis
improved dynamic time warping(DTW)algorithm
作者简介
尹进田,男,博士,从事牵引传动控制系统故障研究工作,E-mail:yinjintian0115@163.com;通信作者:何志龙,男,硕士研究生,从事永磁同步电机故障研究工作,E-mail:jjyp063711@outlook.com.com。
