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永磁同步电机偏心故障的电磁力密度特征分析

Magnetic force characteristic analysis for eccentric fault of permanent magnet synchronous motor
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摘要 气隙作为电机内部磁场能量转换的重要通道,其内部磁场的均匀度会对电机整体性能起着决定作用。基于麦克斯韦应力法及有限元分析,对表贴式永磁同步电机的动态偏心故障进行数值模拟,探究空载状态下永磁同步电机在不同程度偏心故障下的气隙变形对径向电磁力密度时空谱的影响。结合小波变换的分析手段,对比偏心状态与未偏心状态的径向电磁力密度谐波特性。结果表明:偏心状态下,径向电磁力密度的16次、30次谐波幅值显著升高,且伴随偏心故障在径向电磁力密度时频图中产生了一段平稳的低频调制信号。研究结果为表贴式永磁同步电机的故障识别及结构优化提供参考,有助于解决电机内部引起的不平衡电磁力的溯源问题。 The air gap is an important channel for the energy conversion of the internal magnetic field of the motor,and the uniformity of the internal magnetic field will play a decisive role in the overall performance of the motor.Based on the Maxwell stress method and finite element analysis(FEA),the paper numerically simulates the dynamic eccentricity fault of the surface-mounted permanent magnet synchronous motor(PMSM),and explores the effect of the air gap deformation of the permanent magnet synchronous motor under different degrees of eccentricity fault on the radial electromagnetic force density spatiotemporal spectrum under the no-load state.Combined with the analysis method of wavelet transform,the harmonic characteristics of radial electromagnetic force density in the eccentric state and the non-eccentric state are compared.The results show that the amplitudes of the 16th and 30th harmonics of the radial electromagnetic force density increase significantly in the eccentric state,and a stable low-frequency modulation signal is generated in the time-frequency diagram of the radial electromagnetic force density with the eccentric fault.The research results provide a reference for fault identification of surface mount permanent magnet synchronous motor,and help to solve the problem of traceability of the unbalanced electromagnetic force caused by the motor.
作者 李振 王洪凯 何明圆 陈慧慧 黄滨 宋永兴 LI Zhen;WANG Hong-kai;HE Ming-yuan;CHEN Hui-hui;HUANG Bin;SONG Yong-xing
出处 《节能》 2023年第4期35-38,共4页 Energy Conservation
基金 山东省自然科学基金(项目编号:ZR2021QE157)。
关键词 永磁同步电机 有限元法 偏心故障 径向电磁力密度 小波变换 PMSM FEA eccentric fault radial magnetic force wavelet transform
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