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) ›› 2017, Vol. 47 ›› Issue (5): 229-237.doi: 10.6040/j.issn.1672-3961.0.2017.170

• • 上一篇    下一篇

一种多电平逆变器故障诊断与容错控制策略

刘卓,王天真*,汤天浩,冯页帆,姚君琦,高迪驹   

  1. 上海海事大学电气自动化系, 上海 201306
  • 收稿日期:2017-02-10 出版日期:2017-10-20 发布日期:2017-02-10
  • 通讯作者: 王天真(1978— ),女,山东青岛人,教授,博士后,主要研究方向为电力电子装置的故障诊断与容错控制,智能算法融合等. ;E-mail: wtz0@sina.com E-mail:liuzhuo917@163.com
  • 作者简介:刘卓(1992— ),男,湖北十堰人,硕士研究生,主要研究方向为电力电子装置的故障诊断与容错控制等.E-mail: liuzhuo917@163.com
  • 基金资助:
    国家自然科学基金资助项目(61673260);上海市自然科学基金资助项目(16ZR1414300)

A fault diagnosis and fault-tolerant control strategy for multilevel inverter

LIU Zhuo, WANG Tianzhen*, TANG Tianhao, FENG Yefan, YAO Junqi, GAO Diju   

  1. Department of Electrical Automation, Shanghai Maritime University, Shanghai 201306, China
  • Received:2017-02-10 Online:2017-10-20 Published:2017-02-10

PDF (PC)

462

摘要： 针对逆变器开关元件的开路故障,提出一种级联H桥多电平逆变器故障诊断与容错控制策略。 在不改变级联H桥多电平逆变器电路拓扑的情况下,通过快速傅里叶变换(fast fourier transform, FFT)和主元分析(principal component analysis, PCA)对逆变器原始开路故障数据进行了预处理和特征提取,构建贝叶斯网络(Bayesian network, BN)对级联H桥多电平逆变器开关元件的故障进行快速诊断,根据诊断的结果,基于变载波和调制波电压重构容错控制方法,使逆变器输出电压仍能满足系统平稳运行的要求,通过仿真与试验验证了该策略具有良好的诊断及容错控制性能。

关键词: 电压重构容错控制, 级联多电平逆变器, 故障诊断

Abstract: To solve the open circuit faults of the switching device in multilevel inverters, a fault diagnosis and fault-tolerant control strategy was proposed for a cascaded H-bridge multilevel inverter. The fast fourier transform(FFT)and the principal component analysis(PCA)were utilized to reprocess and feature extraction respectively without changing the circuit topology of the cascaded H-bridge multilevel inverter. The faults of cascaded H-bridge multilevel inverters could be fast diagnosed with constructing Bayesian network(BN). According to the fault diagnosis results, output voltages of the multilevel inverter could still meet the demands to keep the system operating smoothly. The way was based on a voltage reconstruction fault tolerant control method by changing the modulation waves and carrier waves, and the performance of the strategy was verified by simulation and experiment.

Key words: multilevel inverters, voltage reconstruction fault tolerant control, fault diagnosis

中图分类号: 

  • TP273
[1] OUNI S, ZOLGHADRI M R, KHODABANDEH M, et al. Improvement of post-fault performance of cascaded H-bridge multilevel inverter[J]. IEEE Transactions on Industrial Electronics, 2017, 64(4):2779-2788.
[2] 刘云峰, 何英杰, 王超,等. 级联H桥多电平逆变器空间矢量调制与三角载波调制统一理论[J]. 电工技术学报, 2016, 31(16):114-123. LIU Yunfeng, HE Yingjie, WANG Chao, et al. The unity theory between space vector and triangular carrier pwm modulation strategy in cascaded H bridge multilevel inverter[J]. Transactions of China Electrotechnical Society, 2016, 31(16):114-123.
[3] BABAEI E, LAALI S, BAYAT Z. A Single-phase cascaded multilevel inverter based on a new basic unit with reduced number of power switches[J]. IEEE Transactions on Industrial Electronics, 2015, 62(2):922-929.
[4] XU H, ZHANG J, QI J, et al. RPCA-SVM fault diagnosis strategy of cascaded H-bridge multilevel inverters[C] //Proceedings of the 1st International Conference on Green Energy. Sfax, Tunisia: ICGE, 2014: 164-169.
[5] 王真. 三电平逆变器故障诊断与容错控制研究[D]. 徐州:中国矿业大学, 2015. WANG Zhen. Research on fault diagonosis and fault tolerant control of three-level inverter[D]. Xuzhou: China University of Mining and Technology, 2015.
[6] 周东华, 胡艳艳. 动态系统的故障诊断技术[J]. 自动化学报, 2009, 35(6):748-758. ZHOU Donghua, HU Yanyan. Fault diagnosis techniques for dynamic systems[J]. Acta Automatica Sinica, 2009, 35(6):748-758.
[7] 吴立增, 朱永利, 苑津莎. 基于贝叶斯网络分类器的变压器综合故障诊断方法[J]. 电工技术学报, 2005, 20(4):45-51. WU Lizeng, ZHU Yongli, YUAN Jinsha. Novel method for transformer faults integrated diagnosis based on Bayesian network classifier[J]. Transactions of China Electrotechnical Society, 2005, 20(4):45-51.
[8] 陈丹江, 叶银忠. 基于多神经网络的三电平逆变器器件开路故障诊断方法[J]. 电工技术学报, 2013, 28(6):120-126. CHEN Danjiang, YE Yinzhong. Fault diagnosis of three level inverter based on multi neural network[J]. Transactions of China Electrotechnical Society, 2013, 28(6):120-126.
[9] 杨云, 朱家元, 张恒喜. 基于新型机器学习的电子装备系统智能故障诊断研究[J]. 计算机工程与应用, 2003, 39(22):210-232. YANG Yun, ZHU Jiayuan, ZHANG Hengxi. Electronic equipment systems intelligent fault diagnosis based on new machine learning approach[J]. Computer Engineering and Applications, 2003, 39(22):210-232.
[10] 尹金良,朱永利,俞国勤.基于多分类相关向量机的变压器故障诊断新方法[J].继电器,2013,41(5):77-82. YIN Jinliang, ZHU Yongli, YU Guoqin. New transformer fault diagnosis method based on multi-class relevance vector machine[J]. Power System Protection and Control, 2013,41(5):77-82.
[11] 蔡红军. 级联多电平电路的故障诊断与故障容错研究[D]. 天津:河北工业大学, 2015. CAI Hongjun. Research on fault diagnosis and fault tolerant methods for cascaded multilevel converter[D]. Tianjin:Hebei University of Technology, 2015.
[12] KHOMFOI S, TOLBERT L M. Fault diagnosis and reconfiguration for multilevel inverter drive using AI-based techniques[J]. IEEE Transactions on Industrial Electronics, 2007, 54(6): 2954-2968.
[13] 洪雪梅, 金福江, 李扬森,等. 三相正弦波逆变器容错控制[J]. 华侨大学学报(自然科学版), 2016, 37(4): 497-502. HONG Xuemei, JIN Fujiang, LI Yangsen, et al. Fault tolerant control of three-phase sine wave inverter[J]. Journal of Huaqiao University(Natural Science), 2016, 37(4): 497-502.
[14] ZHANG T, LIU X, WEI T, et al. A fault-tolerant control strategy for cascaded multilevel converter[J]. Applied Mechanics and Materials, 2014, 494-495:1542-1547.
[15] CAI B, ZHAO Y, LIU H, et al. A data-driven fault diagnosis methodology in three-phase inverters for pmsm drive systems[J]. IEEE Transactions on Power Electronics, 2017, 32(7): 5590-5600.
[16] GENG C, WANG T, TANG T, et al. Fault-tolerant control strategy of the cascaded five-level inverter based on divided voltage modulation algorithm[C] // Proceedings of the 8th International Power Electronics and Motion Control Conference. Hefei, China: IEEE, 2016: 815-820.
[17] WANG T, QI J, XU H, et al. Fault diagnosis method based on FFT-RPCA-SVM for cascaded-multilevel inverter[J]. ISA Transactions, 2016, 60:156-163.
[18] 吴之卓, 李胜, 邓君丽, 等. 改进的同相层叠型SPWM控制级联多电平逆变器[J]. 电力电子技术, 2014, 48(10):22-25. WU Zhizhuo, LI Sheng, DENG Junli, et al. Research on a improved SPWM strategy control for cascaded muti-level inverter[J]. Power Electronics, 2014, 48(10):22-25.
[19] CUI C, CHEN D, YE Y. The neural network-based diagnostic method for atypical faults in NPC three-level inverter[C] //Proceedings of the 25th Control and Decision Conference. Guiyang, China: CCDC, 2013:4740-4745.
[20] MEHER P K, MOHANTY B K, PATEL S K, et al. Efficient VLSI architecture for decimation-in-time fast fourier transform of real-valued data[J]. IEEE Transactions on Circuits and Systems I Regular Papers, 2015, 62(12):2836-2845.
[21] 王丽婕, 冬雷, 高爽. 基于多位置NWP与主成分分析的风电功率短期预测[J]. 电工技术学报, 2015, 30(5):79-84. WANG Lijie, DONG Lei, GAO Shuang. Wind power short-term prediction based on principal component analysis of NWP of multiple locations[J]. Transactions of China Electrotechnical Society, 2015, 30(5):79-84.
[22] 徐小宁. 变电站主接线方式可靠性评估与方案优选[J]. 电工技术学报, 2015, 30(12):441-446. XU Xiaoning. Reliability assessment and optimization of main electrical connection of substation[J]. Transactions of China Electrotechnical Society, 2015, 30(12):441-446.
[1] 程鑫,张林,胡业发,陈强,梁典. 基于电流特性的主动磁轴承电磁线圈故障诊断[J]. 山东大学学报(工学版), 2018, 48(4): 94-101.
[2] 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.
[3] 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.
[4] 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.
[5] 李炜,王可宏,曹慧超. 基于新型ESF的一类非线性系统故障滤波方法[J]. 山东大学学报(工学版), 2017, 47(5): 7-14.
[6] 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.
[7] 邱路,叶银忠,姜春娣. 基于小波奇异熵和SOM神经网络的微电网系统故障诊断[J]. 山东大学学报(工学版), 2017, 47(5): 118-122.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[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] 李静立,王谦,张军,李磊磊. 基于阶次分析的风电机组在线模态参数识别与故障诊断[J]. 山东大学学报(工学版), 2017, 47(4): 96-102.
[15] 于青民,李晓磊,翟勇. 基于改进EMD和数据分箱的轴承内圈故障特征提取方法[J]. 山东大学学报(工学版), 2017, 47(3): 89-95.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
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