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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:

22

期数:

2018年04

页码:

67-74

栏目:

出版日期:

2018-04-15

文章信息/Info

Title:

 Fault detection method of power converter for switchedreluctance motor based on analysis of current

作者:

 肖丽1;  范书瑞2;  王博文3;  申芳1;  董昊宇1

 ( 1． 天津商业大学 信息工程学院，天津 300134; 2． 河北工业大学 电子信息工程学院，天津 300130;3． 河北工业大学 电磁场与电器可靠性省部共建重点实验室，天津 300130)

Author(s):

 XIAO Li1;  FAN Shu-rui2;  WANG Bo-wen3;  SHEN Fang1;  DONG Hao- yu1

( 1． School of Information Engineering，Tianjin University of Commerce，Tianjin 300134，China;2． School of Electronic and Information Engineering，
Hebei University of Technology，Tianjin 300130，China;3． Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Ｒeliability，
Hebei Universityof Technology，Tianjin 300130，China)

关键词:

故障检测;  功率变换器;  退磁时间占比;  电流差值;  开关磁阻电机

Keywords:

 ; fault detection;  power converter;  demagnetization time;  current difference;  switched reluc-tance motor

分类号:

TM352

DOI:

10.15938/j.emc.2018.04.009

文献标志码:

A

摘要:

 以开关磁阻电机不对称半桥型功率变换器为研究对象，提出一种该类电机不对称半桥型功率变换器主功率元件开路与短路故障综合在线检测方法。通过对开路与短路故障机理分析，挖掘故障相电流的奇异特征，揭示主功率元件开路与短路故障下各相电流差值畸变规律，提取故障特征量，提出并建立故障特征量集合，选取各相电流两两间差值为集合中诊断判定元素，设定诊断判据，实现故障发生、故障类型与故障相的诊断。再综合分析故障相电流的退磁时间占比与功率元件通断状态识别出故障元件。仿真与实验结果表明，该方法在不同工况下均可快速准确诊断出故障详情，且无需附加任何额外传感器。

Abstract:

 A comprehensive on-line fault detection method for open-circuit and short-circuit faults is pres-ented for the asymmetrical half-bridge power converter feeding switched reluctance motor． The study is fo-cused on analyzing failure mechanism to excavate the singular feature of fault phase current and the differ-ence between each current． The fault feature was extracted and a fault feature collection was proposed andfounded，which included differences between each current，and were considered as diagnostic judgmentelement． And the diagnosis criterion was set to realize the diagnosis for the occurrence，type and locationof the fault． Then based on the demagnetization time and on-off states of power elements of the faultphase，the fault component can be distinguished． The accuracy and effectiveness of the proposed detec-tion method are validated with different conditions by the simulation results and experimental tests． More-over，
any additional sensors is not required．

参考文献/References:

-

相似文献/References:

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备注/Memo

备注/Memo:

 收稿日期: 2016 － 09 － 19
基金项目: 天津市自然科学基金( 16JCQNJC04200，15JCQNJC00600) ; 天津商业大学国家自然科学基金培育项目( 160123) ; 天津商业大学校青年基金( 16QNJJ05) ; 天津市大学生创新创业训练项目( 201610069077)
作者简介: 肖 丽( 1987—) ，女，博士，讲师，研究方向为电机控制与故障检测;
范书瑞( 1975—) ，男，博士，副教授，研究方向为电机驱动与控制。

常用功能

更新日期/Last Update: 2018-07-01