| 基于VMD-MPE的开关磁阻电机功率变换器故障诊断 |
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| 引用本文： | 张竞文,熊立新,马宏昌,边敦新.基于VMD-MPE的开关磁阻电机功率变换器故障诊断[J].北京航空航天大学学报,2022,48(6):1022-1029. |
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| 作者姓名： | 张竞文 熊立新 马宏昌 边敦新 |
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| 作者单位： | 1.山东理工大学 电气与电子工程学院, 淄博 255000 |
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| 基金项目： | 国家重点研发计划(2017YFB0902800)~~； |
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| 摘 要： | 故障诊断是提升开关磁阻电机(SRM)调速系统可靠性的重要技术。针对功率变换器故障信号非线性不稳定、有效信息易被噪声掩盖的特点, 提出了一种新的故障特征提取方法。对直流母线电流进行变分模态分解, 得到若干本征模态分量, 取多尺度有效模态分量排列熵平均值作为特征向量, 输入支持向量机分类器进行故障识别。为验证所提方法的可行性, 建立仿真模型, 与传统的小波分析等故障诊断方法进行对比；搭建了开关磁阻电机实验台架, 测试了开路、短路故障状态。仿真和实验结果表明:所提方法可减小噪声影响, 提高故障识别准确率。
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| 关 键 词： | 开关磁阻电机(SRM) 功率变换器 故障诊断 变分模态分解 多尺度排列熵 |
| 收稿时间： | 2020-12-16 |
Fault diagnosis of switched reluctance motor power converter based on VMD-MPE |
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| Affiliation: | 1.School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China2.Shandong Kehui Electric Power Automation Co., Ltd., Zibo 255087, China |
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| Abstract: | Fault diagnosis is an important technology to improve the reliability of the switched reluctance motor (SRM) speed control system. To address the non-linear and unstable fault signal of the switched reluctance motor power converter, and the problem that effective information is easily covered by noise, a new fault feature extraction method is proposed. The DC bus current is subjected to variational mode decomposition to obtain several intrinsic mode functions. The average value of the permutation entropy of the multi-scale effective modal components is taken as the feature vector, and is input into the support vector machine classifier for fault identification. In order to verify the feasibility of the proposed algorithm, a simulation model was established and compared with traditional fault diagnosis algorithms such as wavelet analysis; meanwhile, a switched reluctance motor experiment bench was built to test the open circuit and short circuit fault states. The simulation and experimental results show that the method proposed in this paper can reduce the influence of noise and improve the accuracy of fault identification rate. |
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