您的位置：山东大学 -> 科技期刊社 -> 《山东大学学报（工学版）》

山东大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (4): 94-101.doi: 10.6040/j.issn.1672-3961.0.2017.617

• 机器学习与数据挖掘 • 上一篇    下一篇

基于电流特性的主动磁轴承电磁线圈故障诊断

程鑫1,2,张林1,胡业发1,2,陈强1,梁典1   

  1. 1. 武汉理工大学机电工程学院, 湖北 武汉 430070;2. 湖北省磁悬浮轴承工程技术研究中心, 湖北 武汉 430070
  • 收稿日期:2017-09-14 出版日期:2018-08-20 发布日期:2017-09-14
  • 作者简介:程鑫(1982— ),男,湖北武汉人,副教授,博导,博士,主要研究方向为高速高精运动控制系统与磁悬浮轴承. E-mail:chengx@whut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51575411);中央高校基本科研业务费专项资金项目(2017III046,2017III044)

Fault diagnosis of electromagnetic coil in active magnetic bearing based on current characteristics

CHENG Xin1,2, ZHANG Lin1, HU Yefa1,2, CHEN Qiang1, LIANG Dian1   

  1. 1. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China;
    2. Hubei Magnetic Suspension Engineering Technology Research Center, Wuhan 430070, Hubei, China
  • Received:2017-09-14 Online:2018-08-20 Published:2017-09-14

PDF (PC)

321

摘要： 磁悬浮轴承因其优异的性能得到了广泛应用,但电磁线圈的故障可能导致转子失控,从而造成严重后果。提出一种应用于磁悬浮轴承的在线电磁线圈故障诊断方法,通过建立数字开关功放输出电流的数学模型,获取其电流输出特性,从理论上分析线圈发生故障对输出电流变化率的影响;建立两态调制下的Matlab/Simulink模型,进行了仿真验证,证明了方法的理论可行性;设计基于电流过采样的故障诊断方案以及相关算法,搭建基于数字信号处理器(digital signal processor, DSP)的数字开关功放试验平台,进行了相关线圈故障的在线检测试验,结果证明了本研究方法的有效性。

关键词: 在线, 故障诊断, 磁悬浮轴承, 开关功放, 有效性, 电流变化率

Abstract: Magnetic bearings had been widely used for its excellent performance,but the fault of electromagnetic coil might cause the rotor to lose control and cause serious consequences. A on-line fault diagnosis method of electromagnetic coil formagnetic bearings was proposed through the establishment of mathematical model of digital switching power amplifier output current, the current output characteristic was obtained, and the influence of the coil fault on the output current variation rate was theoretically analyzed. A Matlab/Simulink model was established under the two state modulation,the simulation results demonstrated the theoretical feasibility of the method. A fault diagnosis scheme and related algorithm based on current oversampling was designed.Then a digital switching power amplifier test platform based on digital signal processor(DSP)was built, and the on-line detection experiment of related coil faults was carried out. The experimental results demonstrated the effectiveness of the method discussed in this paper.

Key words: magnetic bearings, switching power amplifier, on-line, current variation rate, fault diagnosis, effectiveness

中图分类号: 

  • TH133.3
[1] SCHWEITZER G, BLEULER H, TRAXLER A. Active magnetic bearings: basics, properties and applications of active magnetc bearings[M]. Zurich, Swizerland: vdf Hochschulverlag AG an der ETH Zurich, 1994.
[2] SCHWEITZER G, MASLEN E H. Magnetic bearings: theory, design, and application to rotating machinery[M]. Berlin, Germany: Springer, 2009.
[3] MASLEN E H, MEEKER D C. Fault tolerance of magnetic bearings by generalized bias current linearization[J]. IEEE Transactions on Magnetics, 1995, 31(3): 2304-2314.
[4] CHENG X, LIU H, SONG S, et al. Reconfiguration of tightly-coupled redundant supporting structure in active magnetic bearings under the failures of electromagnetic actuators[J].International Journal of Applied Electromagnetics & Mechanics, 2017, 54(3):1-12.
[5] CHENG X, CHEN Q, ZENG H, et al. Reconfiguration rules for loosely-coupled redundant supporting structure in radial magnetic bearings[J]. International Journal of Applied Electromagnetics & Mechanics, 2016, 51(2):91-106.
[6] 汲胜昌, 刘味果, 李彦明,等. 振动法用于在线监测电力变压器绕组及铁心状况的可行性研究[J]. 高压电器, 2001, 37(5):4-7. JI Shengchang, LIU Weiguo, LI Yanming, et al. Feasibility of vibration analysis method in application to on-line monitoring of the core and the winding of power transformer[J]. High Voltage Apparatus, 2001, 37(5): 4-7.
[7] 李永刚, 李和明, 赵华. 汽轮发电机转子绕组匝间短路故障诊断新判据[J]. 中国电机工程学报, 2003, 23(6):112-116. LI Yonggang, LI Heming, ZHAO Hua. The new criterion on interturn short-circuit fault diagnose of steam turbine generator rotor windings[J]. Proceedings of the CSEE, 2003, 23(6):112-116.
[8] BACHSCHMID N, PENNACCHI P, VANIA A. Identification of multiple faults in rotor systems[J]. Journal of Sound & Vibration, 2002, 254(2):327-366.
[9] CADE I S, KEOGH P S, SAHINKAYA M N. Fault identification in rotor/magnetic bearing systems using discrete time wavelet coefficients[J]. IEEE/ASME Transactions on Mechatronics, 2005, 10(6):648-657.
[10] 陈小玄,罗大庸,单勇腾.小波分析在转子绕组匝间短路故障诊断中的应用[J]. 电机与控制学报, 2007, 11(2):143-147. CHEN Xiaoxuan, LUO Dayong, SHAN Yongteng. Application of wavelet analysis on fault diagnosis of interturn short circuit in rotor winding[J].Electric Machines & Control, 2007, 11(2):143-147.
[11] NAGEL L, GALEAZZI R, VOIGT A J, et al. Fault diagnosis of active magnetic bearings based on Gaussian GLRT detector[C] // Proceedings of the 3rd Control and Fault-Tolerant Systems. New York, USA: IEEE, 2016:540-547.
[12] DOHNAL F, SEKHAR A S. Current signature analysis for unbalance fault detection in a rotor supported by active magnetic bearings[J]. International Journal of Condition Monitoring, 2014, 4(1):2-8(7).
[13] TSAI N C, KING Y H, LEE R M. Fault diagnosis for magnetic bearing systems[J]. Mechanical Systems & Signal Processing, 2009, 23(4):1339-1351.
[14] LOESCH F. Detection and correction of actuator and sensor faults in active magnetic bearing system[C] //Proceedings of the 8th International Symposium on Magnetic Bearing. Zurich, Switzerland: vdf Hochschulverlag AG an der ETH Zurich, 2002:113-118.
[15] 常肖,徐龙祥,董继勇.磁悬浮轴承数字功率放大器[J].机械工程学报,2010,46(20):9-14. CHANG Xiao, XU Longxiang, DONG Jiyong. Digital power amplifier of active magnetic bearing[J]. Journal of Mechanical Engineering, 2010, 46(20): 9-14.
[16] WANG J, XU L. System model of three-level switching power amplifier for magnetic bearing[C] // International Conference on Measuring Technology and Mechatronics Automation. New York, USA: IEEE Computer Society, 2009:708-711.
[17] 臧晓敏,王晓琳,仇志坚,等. 磁轴承开关功放中电流三态调制技术的研究[J]. 中国电机工程学报,2004,24(9): 167-172. ZANG Xiaomin, WANG Xiaolin, QIU Zhijian, et al. Research on current modetri-state modulation technology in switching power amplifier for magnetic bearing[J]. Proceedings of the CSEE, 2004, 24(9): 167-172.
[18] 程鑫, 曾红勇, 吴华春,等. 磁悬浮开关功放数学模型与控制实现[J]. 华中科技大学学报(自然科学版), 2015(增刊1):493-496. CHENG Xin, ZENG Hongyong, WU Huachun, et al. Mathematical model and control implementation of switching power amplifier in magnetical-levitated system[J]. Journal of Huazhong University of Science & Technology(Natural Science Edition), 2015(Suppl. 1):493-496.
[19] CHENG X, WANG B, CHEN Q, et al. A unified design and the current ripple characteristic analysis of digital switching power amplifier in active magnetic-levitated bearings[J]. International Journal of Applied Electromagnetics & Mechanics, 2017, 55(3):391-407.
[20] 王军,徐龙祥. 磁悬浮轴承开关功率放大器等效数学模型[J]. 电工技术学报,2010,25(4):54-58. WANG Jun, XU Longxiang. Equivalent mathematical model of switched power amplifier for magnetic bearings[J]. Journal of electrical technology, 2010, 25(4):54-58.
[21] 张亮, 房建成. 基于MATLAB的电磁轴承开关功放建模与仿真研究[J]. 系统仿真学报, 2007, 19(11):2395-2398. ZHANG Liang, FANG Jiancheng. Research on modeling and Simulation of switching power amplifier for active magnetic bearing applications based on MATLAB[J]. Journal of System Simulation, 2007, 19(11):2395-2398.
[1] 曹小洁,李小华,刘辉. 一类非仿射非线性大系统的结构在线扩展[J]. 山东大学学报 (工学版), 2020, 50(1): 35-48.
[2] 汪嘉晨,唐向红,陆见光. 轴承故障诊断中特征选取技术[J]. 山东大学学报 (工学版), 2019, 49(2): 80-87, 95.
[3] 钱春琳,张兴芳,孙丽华. 基于在线评论情感分析的改进协同过滤推荐模型[J]. 山东大学学报 (工学版), 2019, 49(1): 47-54.
[4] 程鑫,刘晗,王博,梁典,陈强. 基于双核处理器的主动磁悬浮轴承容错控制架构[J]. 山东大学学报(工学版), 2018, 48(2): 72-80.
[5] 宋正强,杨辉玲,肖丹. 基于在线粒子群优化方法的IPMSM驱动电流和速度控制器[J]. 山东大学学报(工学版), 2018, 48(1): 112-116.
[6] 吴建萍,姜斌,刘剑慰. 基于小波包信息熵和小波神经网络的异步电机故障诊断[J]. 山东大学学报(工学版), 2017, 47(5): 223-228.
[7] 王梦园,张雄,马亮,彭开香. 基于因果拓扑图的工业过程故障诊断[J]. 山东大学学报(工学版), 2017, 47(5): 187-194.
[8] 毛海杰,李炜,王可宏,冯小林. 基于自抗扰的多电机转速同步系统传感器故障切换容错策略[J]. 山东大学学报(工学版), 2017, 47(5): 64-70.
[9] 宋洋,钟麦英. 基于改进距离相似度的故障可分离性分析方法[J]. 山东大学学报(工学版), 2017, 47(5): 103-109.
[10] 刘卓,王天真,汤天浩,冯页帆,姚君琦,高迪驹. 一种多电平逆变器故障诊断与容错控制策略[J]. 山东大学学报(工学版), 2017, 47(5): 229-237.
[11] 孙源呈,姚利娜. 不确定奇异随机分布系统的故障诊断和容错控制[J]. 山东大学学报(工学版), 2017, 47(5): 238-245.
[12] 谢晓龙,姜斌,刘剑慰,蒋银行. 基于滑模观测器的异步电动机速度传感器故障诊断及容错控制[J]. 山东大学学报(工学版), 2017, 47(5): 210-214.
[13] 崔阳,张柯,姜斌. 具有切换拓扑结构的多智能体系统故障估计[J]. 山东大学学报(工学版), 2017, 47(5): 263-270.
[14] 李明虎,李钢,钟麦英. 动态核主元分析在无人机故障诊断中的应用[J]. 山东大学学报(工学版), 2017, 47(5): 215-222.
[15] 王秀青,曾慧,解飞,吕峰. 基于Spiking神经网络的机械臂故障诊断[J]. 山东大学学报(工学版), 2017, 47(5): 15-21.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] 孙国华,吴耀华,黎伟. 消费税控制策略对供应链系统绩效的影响[J]. 山东大学学报(工学版), 2009, 39(1): 63 -68 .
[2] 王,张艳宁,申家振,刘俊成 . 基于信息测度和支持向量机的图像边缘检测[J]. 山东大学学报(工学版), 2006, 36(3): 95 -99 .
[3] 李辉平, 赵国群, 张雷, 贺连芳. 超高强度钢板热冲压及模内淬火工艺的发展现状[J]. 山东大学学报(工学版), 2010, 40(3): 69 -74 .
[4] 孙炜伟,王玉振. 考虑饱和的发电机单机无穷大系统有限增益镇定[J]. 山东大学学报(工学版), 2009, 39(1): 69 -76 .
[5] 孙玉利,李法德,左敦稳,戚美 . 直立分室式流体连续通电加热系统的升温特性[J]. 山东大学学报(工学版), 2006, 36(6): 19 -23 .
[6] 薛成骞,董建文,孟宪锋,常虹,曹宁,陈华英,李木森 . C／C+HA骨植入材料对杂交波尔山羊生理生化机能的影响[J]. 山东大学学报(工学版), 2008, 38(3): 73 -76 .
[7] 张永花,王安玲,刘福平 . 低频非均匀电磁波在导电界面的反射相角[J]. 山东大学学报(工学版), 2006, 36(2): 22 -25 .
[8] 浦剑1 ,张军平1 ，黄华2 . 超分辨率算法研究综述[J]. 山东大学学报(工学版), 2009, 39(1): 27 -32 .
[9] 王静,李玉江,张晓瑾, 毕研俊,陈位锁 . 粉煤灰去除水中活性紫KN-B[J]. 山东大学学报(工学版), 2006, 36(6): 100 -103 .
[10] 蔡晓军１ ,张擎１ ,柴乔林１ ，孔苏丽2 . 基于能量均衡的n分多路径路由算法[J]. 山东大学学报(工学版), 2009, 39(2): 141 -145 .
版权所有 © 2018 《山东大学学报(工学版)》编辑部　
地址: 济南市山大南路27号（250100）　 电话: 0531-88366735　 E-mail: xbgxb@sdu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发