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基于Maxwell2D和Simplorer的永磁同步电机退磁模型设计
引用本文:李忠海,曹洋,邢晓红.基于Maxwell2D和Simplorer的永磁同步电机退磁模型设计[J].火力与指挥控制,2016(7):135-139.
作者姓名:李忠海  曹洋  邢晓红
作者单位:沈阳航空航天大学自动化学院,沈阳,110136
基金项目:国家自然科学基金资助项目(61104023)
摘    要:永磁体退磁故障是永磁电机的常见故障,对电机退磁故障进行早期检测和诊断可以有效防止灾难发生,具有重大意义。建立不均匀退磁故障状态下的Maxwell2D电机模型,利用仿真软件Maxwell2D与Simplorer构建永磁同步电机联合仿真系统,分别对电机的正常状态模型与退磁故障模型进行仿真,并对相电流信号进行分析。利用EMD-LSSVM变换建立的故障诊断模型对不同程度的退磁故障进行诊断。仿真结果表明:该模型可以精确地识别出微弱的退磁故障,验证了联合仿真退磁模型的正确性。

关 键 词:永磁同步电机  Maxwell  2D  Simplorer  退磁故障  EMD-LSSVM变换

Demagnetization Model Design of PMSM Based on Maxwell 2D and Simplorer
Abstract:The permanent magnet demagnetization fault is the common fault of PMSM,which may causes other more serious motor faults. Therefore,carrying on the early examination and diagnosis to the motor demagnetization fault could prevent the disaster from occurring effectively,which has great significance. Uniform demagnetization fault motor model is established by using Maxwell2D software. Making use of simulation software Maxwell 2D and Simplorer to construct the co-simulation system of permanent magnet synchronous motor,the simulation separately to normal state model and demagnetization fault model are caught on,and the phase current signal is analyzed,then diagnosis to different degree’s demagnetization fault by using the EMD-LSSVM fault diagnosis model. The simulation results indicated. The EMD-LSSVM fault diagnosis model can recognize the faint demagnetization fault accurately,which verified the correctness of the co-simulation model in condition of demagnetization.
Keywords:permanent magnet synchronous motor  Maxwell 2D  Simplorer  demagnetization  fault diagnosis  EMD-LSSVM
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