余银犬, 仲元昌, 涂文兵, 陈齐平, 杨锦雯. 航空永磁同步发电机高温均匀退磁故障仿真研究[J]. 南昌航空大学学报(自然科学版), 2021, 35(2): 27-33. DOI: 10.3969/j.issn.2096-8566.2021.02.005
引用本文: 余银犬, 仲元昌, 涂文兵, 陈齐平, 杨锦雯. 航空永磁同步发电机高温均匀退磁故障仿真研究[J]. 南昌航空大学学报(自然科学版), 2021, 35(2): 27-33. DOI: 10.3969/j.issn.2096-8566.2021.02.005
Yin-quan YU, Yuan-chang ZHONG, Wen-bing TU, Qi-ping CHEN, Jin-wen YANG. Fault Diagnosis of High Temperature Uniform Demagnetization for Aerogenerator[J]. Journal of nanchang hangkong university(Natural science edition), 2021, 35(2): 27-33. DOI: 10.3969/j.issn.2096-8566.2021.02.005
Citation: Yin-quan YU, Yuan-chang ZHONG, Wen-bing TU, Qi-ping CHEN, Jin-wen YANG. Fault Diagnosis of High Temperature Uniform Demagnetization for Aerogenerator[J]. Journal of nanchang hangkong university(Natural science edition), 2021, 35(2): 27-33. DOI: 10.3969/j.issn.2096-8566.2021.02.005

航空永磁同步发电机高温均匀退磁故障仿真研究

Fault Diagnosis of High Temperature Uniform Demagnetization for Aerogenerator

  • 摘要: 考虑了永磁体所有磁极上10%、20%、30%、40%、50%和60%的均匀退磁故障,并研究了不同故障程度对机器性能的影响。通过有限元仿真分析了航空永磁同步发电机在退磁故障下的反电动势、齿槽转矩和漏磁场等信号大小同稀土永磁体退磁程度的相互映射关系。研究发现,当永磁同步发电机中的永磁体磁性退化时,磁通量大小将会相应减弱,直接导致漏磁场的降低。由于反电动势取决于磁通变化率,因此当永磁同步发电机运转时,它的反电动势的变化也能反映磁通量的变化。当磁场强度发生变化时,转子保持在最小能量水平的趋势所产生的齿槽转矩也将直接发生变化。通过信号的特征研究可以预测航空永磁同步发电机运行中的退磁状况和退磁程度,该研究对航空发电机的健康状态检测和故障诊断有实际意义。

     

    Abstract: 10%, 20%, 30%, 40%, 50% and 60% uniform demagnetization faults on all poles of the magnet are considered, and the effects of different fault severity on the performance of the machine are studied. The signals of back-EMF, cogging torque and leakage magnetic field, which are directly related to the demagnetization of permanent magnet, are discussed by finite element analysis. When the permanent magnet in PMSG deteriorates, the flux will decrease accordingly, which will directly lead to the decrease of leakage field. Since the back EMF depends on the rate of flux change, the change of its back EMF can reflect the change of flux. When the direction of the magnetic field strength changes, the cogging torque generated by the trend of keeping the rotor at the minimum energy level will also change directly. Therefore, in the development of fault diagnosis technology, it is necessary to study the characteristics of these signals. The results can be a guideline for the health state detection and fault diagnosis of aerogenerator.

     

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