Brief paper: Residual generation and evaluation of networked control systems subject to random packet dropout

  • Authors:
  • Yongqiang Wang;Hao Ye;Steven X. Ding;Guizeng Wang;Donghua Zhou

  • Affiliations:
  • Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, PR China;Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, PR China;Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, 47057, Germany;Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, PR China;Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, PR China

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2009

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Abstract

In this paper, we address fault detection for networked control systems subject to random packet dropout. The packet dropout is assumed to be existing in the sensor-to-controller link and the controller-to-actuator link. Both parity space and observer based residual generation and evaluation approaches are proposed. In parity space based fault detection scheme, a new optimization index is proposed to deal with stochastic system parameters caused by random packet dropout, while in observer based scheme, this is accomplished by introducing a reference model. In order to evaluate performance of the designated threshold, the corresponding false alarm rate is given. The two fault detection schemes can ensure both robustness to packet dropout as well as disturbance and sensitivity to fault. An experimental study is employed to verify that the proposed method performs better than the existing approaches.