计算机工程 ›› 2013, Vol. 39 ›› Issue (3): 289-294.doi: 10.3969/j.issn.1000-3428.2013.03.058

• 开发研究与设计技术 • 上一篇    下一篇

具有时变采样周期的网络化控制系统故障检测

樊金荣1,2,方华京2   

  1. (1. 中南民族大学计算机科学学院,武汉 430074;2. 华中科技大学控制科学与工程系,武汉 430074)
  • 收稿日期:2012-04-09 出版日期:2013-03-15 发布日期:2013-03-13
  • 作者简介:樊金荣(1974-),女,副教授、博士研究生,主研方向:网络化控制系统,故障诊断与容错控制;方华京,教授、博士
  • 基金项目:
    国家自然科学基金资助项目(61034006);中央高校基本科研业务费专项基金资助项目(ZZQ10003)

Fault Detection for Networked Control System with Time-varying Sampling Period

FAN Jin-rong 1,2, FANG Hua-jing 2   

  1. (1. College of Computer Science, South-central University for Nationalities, Wuhan 430074, China; 2. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)
  • Received:2012-04-09 Online:2013-03-15 Published:2013-03-13

摘要: 针对具有时变采样周期和时延的网络化控制系统(NCS)故障检测问题,通过矩阵Jordan变换,将时变采样周期与时延的不确定性转化为NCS系统结构参数的不确定性,建立离散时间凸多面体不确定系统模型。设计鲁棒故障检测滤波器(RFDF)作为残差发生器,将故障检测问题转化为RFDF的设计问题,通过线性矩阵不等式给出滤波器存在的充分条件。数值仿真结果表明,所设计的RFDF滤波器能较快复现故障信号,对外部干扰和不确定的采样周期及时延具有鲁棒性。

关键词: 网络化控制系统, 时变采样周期, 时延, 凸多面体不确定系统, 鲁棒故障检测滤波器, 线性矩阵不等式

Abstract: Aiming the problem that robust fault detection of Networked Control System(NCS) with time-varying sampling period and time delay, the uncertainties of time-varying sampling period and time delay in NCS are converted into the uncertainties of the parameter matrix by the real Jordan form approximation, and a discrete-time model with parameters uncertainties lying inside a polytypic framework is proposed. The residual generator is constructed and the problem of fault detection can be converted into the design of the Robust Fault Detection Filter(RFDF). The sufficient conditions for existence of the RFDF are established in terms of linear matrix inequalities. Simulation result shows the filter can repeat the fault signal well and it is robust for the disturbance and the uncertain sampling interval and time delay.

Key words: Networked Control System(NCS), time-varying sampling period, time delay, convex polytopic uncertainty system, Robust Fault Detection Filter(RFDF), Linear Matrix Inequality(LMI)

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