双余度永磁无刷直流电机匝间短路故障诊断

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摘要为了提高系统可靠性,将余度技术引入到电机设计中来,设计了双余度永磁无刷直流电机。针对双余度永磁无刷直流电机绕组细微的匝间短路故障,选择了相电流作为故障分析信号,通过拆分定子槽,改变控制电路的方式,建立了电机的匝间短路故障有限元仿真模型。根据故障信号和小波函数的特点,分别利用Daubechies3和coif5小波函数对故障信号进行了特征提取,结果表明在小波分解高频部分的第2层,信号有明显突变,并由此确定了coif5小波函数进行故障特征检测。采用coif5小波函数对相电流d2分解系数进行了能量特征提取,得到了各相短路时的故障特征向量。采用了小波神经网络进行故障诊断,建立了基于PNN神经网络的故障诊断模型,对故障样本进行了诊断,诊断结果准确可靠,验证了所用方法的有效可行。

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关键词 ：双余度, 永磁无刷直流电机, 匝间短路, 故障诊断

Abstract：In order to improve the reliability of the system, the redundancy technology is brought into the motor design and a dual redundancy permanent magnet brushless DC motor is designed. According to the dual-redundancy permanent magnet brushless DC motor winding slight inter-turn short circuit fault, phase current is chosen as fault analysis signal. Through splitting the stator slot and changing the control circuit means, the motor winding inter-turn short circuit fault simulation finite element model is established. According to the fault signal and the wavelet function, respectively, using Daubechies3 and coif5 wavelet function for fault signal characteristics extraction, the results show that wavelet decomposition in the high frequency part of the second layer, and the signal has a significant change, and thus to determine the coif5 wavelet function for fault detection. Using coif5 wavelet function to the current D2 decomposition coefficients are energy feature extraction and each phase short circuit fault feature vector is obtained. Using wavelet neural network fault diagnosis, based on PNN neural network fault diagnosis model, fault samples are diagnosed. The result shows the model is correct and effective.

Key words： Dual redundancy permanent magnet brushless DC motor inter-turn short circuit fault diagnosis

收稿日期: 2013-04-09 出版日期: 2014-06-16

PACS:

TM351

基金资助:陕西省自然科学基金（2013JQ7035）,西安市科技计划（CX12185-2）和航空基金（2013ZC53045）资助项目

作者简介: 付朝阳男,1981年生,博士,研究方向为永磁电机及控制。刘景林男,1964年生,教授,博士生导师,研究方向为永磁电机及其控制。

引用本文:

付朝阳, 刘景林, 张晓旭. 双余度永磁无刷直流电机匝间短路故障诊断[J]. 电工技术学报, 2014, 29(1): 104-109. Fu Zhaoyang, Liu Jinglin, Zhang Xiaoxu. Research on Inter-Turn Short Circuit Fault Diagnosis of Dual Redundancy Permanent Magnet Brushless DC Motor. Transactions of China Electrotechnical Society, 2014, 29(1): 104-109.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2014/V29/I1/104

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