2022年 05期

三电平逆变器参数性故障诊断

Parametric Fault Diagnosis of Three-level Inverters


摘要(Abstract):

针对三电平逆变器系统结构复杂、工作模式多变以及存在参数不确定性等特点,提出一种基于解析冗余关系与模糊理论的参数性故障诊断方法;采用键合图理论建立逆变器的键合图模型,根据因果路径法推导出全局解析冗余关系,并获得逆变器参数的故障特征矩阵;采用遗传算法优化隶属度函数,通过残差分析获取观察特征,并通过比较观察特征和故障特征进行参数性故障检测和隔离;将所提出的方法应用于T型逆变器,利用20-SIM软件和MATLAB平台进行仿真分析。结果表明,所提出的方法能有效实现绝缘栅双极型晶体管参数性故障检测和隔离。

关键词(KeyWords): 解析冗余关系;模糊理论;三电平逆变器;参数性故障诊断;键合图

基金项目(Foundation): 国家自然科学基金项目(61963034)

作者(Author): 陈正雄,帕孜来·马合木提

DOI: 10.13349/j.cnki.jdxbn.20220719.001

参考文献(References):

[1] 张建忠,耿治,徐帅.基于T型逆变器的APF故障诊断与容错控制[J].中国电机工程学报,2019,39(1):245-255,339.

[2] 马晓军,李敏裕,魏曙光,等.T型逆变器开路故障诊断[J].电工技术学报,2018,33(10):2324-2333.

[3] 丁毅,何怡刚,李兵 ,等.基于小波包和量子神经网络的逆变器故障诊断[J].重庆理工大学学报(自然科学),2021,35(4):152-158.

[4] YANG S,BRYANT A,MAWBY P,et al.An industry-based survey of reliability in power electronic converters[J].IEEE Transactions on Industry Applications,2011,47(3):1441-1451.

[5] 韩恒贵.基于深度学习的IGBT故障预测研究[D].北京:北京交通大学,2019.

[6] BANDYOPADHYAY I,PURKAIT P,KOLEY C.Performance of a classifier based on time-domain features for incipient fault detection in inverter drives[J].IEEE Transactions on Industrial Informatics,2019,15(1):3-14.

[7] 张志学,马皓,毛兴云.基于混杂系统模型和事件辨识的电力电子电路故障诊断[J].中国电机工程学报,2005,25(3):49-53.

[8] ISERMANN R.Fault-diagnosis applications:model-based condition monitoring:actuators,drives,machinery,plants,sensors,and fault-tolerant systems[M].Berlin:Springer Science & Business Media,2011.

[9] DING S X.Model-based fault diagnosis techniques:design schemes,algorithms,and tools[M].Berlin:Springer Science & Business Media,2008.

[10] TERMECHE A,BENAZZOUZ D,BOUAMAMA B O,et al.Augmented analytical redundancy relations to improve the fault isolation[J].Mechatronics,2018,55:129-140.

[11] 王文辉,刘帅,周东华.混杂系统故障诊断方法综述[J].系统工程与电子技术,2006(12):1853-1857.

[12] 葛兴来,苟斌,蒲俊楷,等.基于混合逻辑动态模型的逆变器开路故障诊断[J].铁道学报,2016,38(8):35-40.

[13] 孙晟桐,刘剑,宋吉江,等.一种基于残差矢量的六相逆变器故障诊断策略[J].微电机,2020,53(1):65-71.

[14] BORUTZKY W.Bond-graph-based fault detection and isolation for hybrid system models[J].Proceedings of the Institution of Mechanical Engineers,Part I:Journal of Systems and Control Engineering,2012,226(6):742-760.

[15] GONZALEZ AVALOS G,BARRERA GALLEGOS N,AYALA G,et al.Dynamic performance of a Skystream wind turbine:a bond graph approach[J].Cogent Engineering,2019,6(1):1709361.

[16] 黄林,程刚,朱国情,等.舰船主动力装置故障隔离与参数估计方法[J].国防科技大学学报,2019,41(2):176-184.

[17] EVSUKOFF A,GENTIL S,MONTMAIN J.Fuzzy reasoning in co-operative supervision systems[J].Control Engineering Practice,2000,8(4):389-407.

[18] KAM C S,DAUPHIN-TANGUY G.Bond graph models of structured parameter uncertainties[J].Journal of the Franklin Institute,2005,342(4):379-399.

[19] 彭小辉,晏政,李艳军,等.一种基于解析冗余关系的半定性故障隔离方法在航天器推进系统中的应用[J].国防科技大学学报,2012,34(6):104-110.

[20] 肖晨雨,郁明.未知离散故障下切换电路系统的故障参数辨识[J].仪器仪表学报,2018,39(4):195-204.

[21] ZHANG C,WANG C,LU N,et al.An RBMs-BN method to RUL prediction of traction converter of CRH2 trains[J].Engineering Applications of Artificial Intelligence,2019,85:46-56.