2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

具有多测量数据包丢失的线性离散时变系统故障检测滤波器设计

李岳炀 钟麦英

李岳炀, 钟麦英. 具有多测量数据包丢失的线性离散时变系统故障检测滤波器设计. 自动化学报, 2015, 41(9): 1638-1648. doi: 10.16383/j.aas.2015.c150075
引用本文: 李岳炀, 钟麦英. 具有多测量数据包丢失的线性离散时变系统故障检测滤波器设计. 自动化学报, 2015, 41(9): 1638-1648. doi: 10.16383/j.aas.2015.c150075
LI Yue-Yang, ZHONG Mai-Ying. Fault Detection Filter Design for Linear Discrete Time-varying Systems with Multiple Packet Dropouts. ACTA AUTOMATICA SINICA, 2015, 41(9): 1638-1648. doi: 10.16383/j.aas.2015.c150075
Citation: LI Yue-Yang, ZHONG Mai-Ying. Fault Detection Filter Design for Linear Discrete Time-varying Systems with Multiple Packet Dropouts. ACTA AUTOMATICA SINICA, 2015, 41(9): 1638-1648. doi: 10.16383/j.aas.2015.c150075

具有多测量数据包丢失的线性离散时变系统故障检测滤波器设计

doi: 10.16383/j.aas.2015.c150075
基金项目: 

国家自然科学基金(61174121,61203083,61233014,61333005),济南大学博士基金(XBS1242)资助

详细信息
    作者简介:

    钟麦英 北京航空航天大学仪器科学与光电工程学院教授.主要研究方向为动态系统故障诊断与容错控制.E-mail:myzhong@buaa.edu.cn

    通讯作者:

    李岳炀 济南大学自动化与电气工程学院讲师.主要研究方向为随机系统故障诊断与容错控制.本文通信作者.E-mail:cse_liyy@ujn.edu.cn

Fault Detection Filter Design for Linear Discrete Time-varying Systems with Multiple Packet Dropouts

Funds: 

Supported by National Natural Science Foundation of China (61174121, 61203083, 61233014, 61333005) and the Doctoral Foundation of University of Jinan (XBS1242)

  • 摘要: 研究存在多数据包丢失现象的线性离散时变系统有限时间域内故障检测滤波器(Fault detection filter, FDF)设计问题. 在数据包具有时间戳标记的条件下, 设计基于观测器的FDF作为残差产生器, 构造两类FDF. 其一为H-/H∞-FDF或H∞/H∞-FDF. 定义故障到残差和未知输入到残差的广义传递函数算子, 将此类FDF设计问题转换为随机意义下H-/H∞ 或H∞/H∞性能指标优化问题. 其二为H∞-FDF, 将此类FDF设计问题转化为随机意义下的H∞滤波问题. 采用基于伴随算子的H∞优化方法, 通过求解递推Riccati方程, 得到上述两类FDF设计问题的解析解. 通过算例验证所提方法的有效性.
  • [1] Ding S X. Model-based Fault Diagnosis Techniques. Berlin: Springer-Verlag, 2013. 187-191
    [2] Zhou Dong-Hua, Liu Yang, He Xiao. Review on fault diagnosis techniques for closed-loop systems. Acta Automatica Sinica, 2013, 39(11): 1933-1943 (周东华, 刘洋, 何潇. 闭环系统故障诊断技术综述. 自动化学报, 2013, 39(11): 1933-1943)
    [3] Keliris C, Polycarpou M M, Parisini T. A distributed fault detection filtering approach for a class of interconnected continuous-time nonlinear systems. IEEE Transactions on Automatic Control, 2013, 58(8): 2032-2047
    [4] Kulcsar B, Verhaegen M. Robust inversion based fault estimation for discrete-time LPV systems. IEEE Transactions on Automatic Control, 2012, 57(6): 1581-1586
    [5] Mao Z H, Jiang B, Shi P. Fault-tolerant control for a class of nonlinear sampled-data systems via a Euler approximate observer. Automatica, 2010, 46(11): 1852-1859
    [6] Wang S Q, Jiang Y L, Li Y C, Liu D R. Reliable observer-based H∞ control for discrete-time fuzzy systems with time-varying delays and stochastic actuator faults via scaled small gain theorem. Neurocomputing, 2015, 147: 251-259
    [7] Liu B A, Ye H. Statistical χ2 testing based fault detection for linear discrete time-delay systems. Acta Automatica Sinica, 2014, 40(7): 1278-1284
    [8] Zhu X D, Xia Y Q. Fault detection for discrete systems based on a descriptor system method. IET Control Theory and Applications, 2014, 8(9): 697-704
    [9] Dong H L, Wang Z D, Chen X M, Gao H J. A review on analysis and synthesis of nonlinear stochastic systems with randomly occurring incomplete information. Mathematical Problems in Engineering, 2012, 2012: Article ID 416358
    [10] Gao H, Chen T, Wang L. Robust fault detection with missing measurements. International Journal of Control, 2008, 81(5): 804-819
    [11] Wan X B, Fang H J. Fault detection for discrete-time networked nonlinear systems with incomplete measurements. International Journal of Systems Science, 2013, 44(11): 2068-2081
    [12] Long Y, Yang G H. Fault detection in finite frequency domain for networked control systems with missing measurements. Journal of the Franklin Institute, 2013, 350(9): 2605-2626
    [13] Alavi S M M, Saif M. Fault detection in nonlinear stable systems over lossy networks. IEEE Transactions on Control Systems Technology, 2013, 21(6): 2129-2142
    [14] He X, Wang Z D, Zhou D H. Robust fault detection for networked systems with communication delay and data missing. Automatica, 2009, 45(11): 2634-2639
    [15] Zhao Y, Lam J, Gao H J. Fault detection for fuzzy systems with intermittent measurements. IEEE Transactions on Fuzzy Systems, 2009, 17(2): 398-410
    [16] Du D S, Jiang B, Shi P. Fault detection for discrete-time switched systems with intermittent measurements. International Journal of Control, 2012, 85(1): 78-87
    [17] Li X B. Fault Detection Filter Design for Linear Systems [Ph.D dissertation], Louisiana State University, USA, 2009
    [18] Ding S X, Shen B, Wang Z D, Zhong M Y. A fault detection scheme for linear discrete-time systems with an integrated online performance evaluation. International Journal of Control, 2014, 87(12): 2511-2521
    [19] Zhong M Y, Ding S X, Ding E L. Optimal fault detection for linear discrete time-varying systems. Automatica, 2010, 46(8): 1395-1400
    [20] Zhong M Y, Zhou D H, Ding S X. On designing H∞ fault detection filter for linear discrete time-varying systems. IEEE Transactions on Automatic Control, 2010, 55(7): 1689-1695
    [21] Shen B, Ding S X, Wang Z D. Finite-horizon H∞ fault estimation for linear discrete time-varying systems with delayed measurements. Automatica, 2013, 49(1): 293-296
    [22] Li Yue-Yang, Zhong Mai-Ying. On designing robust H∞ fault detection filter for linear discrete time-varying systems with multiple packet dropouts. Acta Automatica Sinica, 2010, 36(12): 1788-1796 (李岳炀, 钟麦英. 存在多步测量数据包丢失的线性离散时变系统鲁棒H∞故障检测滤波器设计. 自动化学报, 2010, 36(12): 1788-1796)
    [23] Li Y Y, Liu S, Wang Z H. Fault detection for linear discrete time-varying systems with measurement packet dropping. Mathematical Problems in Engineering, 2013, 2013: Article ID 697345
    [24] Li Y Y, Liu S, Wang Z H. Fault detection for linear discrete time-varying systems with intermittent observations and quantization errors. Asian Journal of Control, to be published
    [25] He X, Hu Y Y, Peng K X. Intermittent fault detection for uncertain networked systems. Mathematical Problems in Engineering, 2013, 2013: Article ID 282168
    [26] Costa O L V, Fragoso M D, Marques R P. Discrete-Time Markov Jump Linear Systems. London: Springer-Verlag, 2005. 20-21
    [27] Li Y Y, Zhong M Y. On optimal fault detection for discrete-time Markovian jump linear systems. Acta Automatica Sinica, 2013, 39(6): 926-932
    [28] Gershon E, Shaked U, Yaesh I. H∞ control and filtering of discrete-time stochastic systems with multiplicative noise. Automatica, 2001, 37(3): 409-417
    [29] Ma J, Sun S L. Optimal linear estimators for systems with random sensor delays, multiple packet dropouts and uncertain observations. IEEE Transactions on Signal Processing, 2011, 59(11): 5181-5192
    [30] Perabó S, Zhang Q H. Adaptive observers for linear stochastic time-variant systems with disturbance. International Journal of Adaptive Control and Signal Processing, 2009, 23(6): 547-566
    [31] Zhang K, Jiang B, Shi P. Fault estimation observer design for discrete-time takagi-sugeno fuzzy systems based on piecewise Lyapunov functions. IEEE Transactions on Fuzzy Systems, 2012, 20(1): 192-200
    [32] Bar-Shalom Y, Kirubarajan T, Li X R. Estimation with Applications to Tracking and Navigation. New York: John Wiley & Sons, 2002. 273-274
  • 加载中
计量
  • 文章访问数:  1572
  • HTML全文浏览量:  61
  • PDF下载量:  939
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-02-06
  • 修回日期:  2015-05-13
  • 刊出日期:  2015-09-20

目录

    /

    返回文章
    返回