引用本文:黄鹤,谢德晓,韩笑冬,张登峰,王执铨.具有随机丢包的一类网络控制系统的故障检测[J].控制理论与应用,2011,28(1):79~86.[点击复制]
HUANG He,XIE De-xiao,HAN Xiao-dong,ZHANG Deng-feng,WANG Zhi-quan.Fault detection for networked control system with random packet dropout[J].Control Theory and Technology,2011,28(1):79~86.[点击复制]
具有随机丢包的一类网络控制系统的故障检测
Fault detection for networked control system with random packet dropout
摘要点击 2356  全文点击 1780  投稿时间:2009-07-12  修订日期:2010-02-19
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DOI编号  10.7641/j.issn.1000-8152.2011.1.CCTA090914
  2011,28(1):79-86
中文关键词  网络控制系统  数据包丢失  马尔可夫跳变系统  故障检测
英文关键词  networked control systems  random packet dropout  Markovian jump linear system  fault detection
基金项目  国家自然科学基金资助项目(60574082, 60804027, 6094129); 江苏省自然科学基金资助项目(bk2009388); 南京理工大学自主科研专项计划资助项目(2010ZYTS012).
作者单位E-mail
黄鹤* 南京理工大学 自动化学院
中国电子科技集团 第二十八研究所 
hh.huanghe@gmail.com 
谢德晓 南京理工大学 自动化学院
中国电子科技集团 第二十八研究所 
 
韩笑冬 南京理工大学 自动化学院  
张登峰 南京理工大学 自动化学院  
王执铨 南京理工大学 自动化学院  
中文摘要
      针对存在随机数据包丢失的网络环境, 研究了一类网络控制系统的故障检测问题. 考虑随机丢包同时发生在传感器与控制器以及控制器与执行器之间, 将网络控制系统建模为含有4个模态的马尔可夫跳变线性系统. 基于此类模型, 构造了系统的残差发生器, 相应的故障检测问题转化为H1滤波问题. 利用马尔可夫跳变线性系统理论,设计了故障检测滤波器, 使得残差动态系统均方稳定, 且满足一定的扰动抑制水平. 数值算例表明, 在发生随机数据包丢失的情况下, 上述故障检测滤波器不仅对故障敏感, 同时对外界扰动具有鲁棒性.
英文摘要
      With the presence of stochastic packet dropout effects in the network, the problem of fault detection filter design for a class of networked control system is investigated. When the random packet dropout occurs in both the channel between sensor and controller and the channel between controller and actuator, we model the networked control system as a Markovian jump linear system with four operation modes. Based on this model, the residual generator is developed and the problem of fault detection and isolation is formatted as a problem of H-infinity filtering. By using the theory of Markovian jump linear system, we propose a design method for fault detection filter, which makes the residual generation system stable in the mean-square sense, satisfying a prescribed disturbance attenuation level. The numerical example shows that the proposed fault detection filter is sensitive to the fault but robust to exogenous disturbance.