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Fault Detection of Networked Control System subject to Random Packet Dropout and Multi-Rate Sample Data

Fault Detection of Networked Control System subject to Rando...

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第36届中国控制会议

作者： FENG Xiaoxue PAN Feng Li Shuhui School of Automation Beijing Institute of Technology

ISBN: (纸本)9781538629185

In this paper,the problem of fault detection is addressed for networked control system（NCS） subject to both random packet dropout and multi-rate sampled data,which is usually unavoidable.Since the networked control system suffers heavy resources competition and network congestion under the limited bandwidth,resulting in multi-rate sampling and data packet dropout.Observer based residual generation and evaluation approach is proposed.First,by lifting the multi-rate multi-sensor model to a single-rate one,a residual generator with causality constraint is obtained.Then,the parameters of the residual generator are achieved by optimizing a performance index,which is robust to the unknown disturbances and packet dropout without loss of the sensitivity to the faults.Finally,an appropriate threshold of Residual evaluation is calculated by making full use of the stochastic properties of the disturbances.Simulation results are given to illustrate the effectiveness of the proposed method.

关键词： Fault detection residual generation Residual evaluation Packet dropout Multi-rate sensors

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Fault Detection over Signal-to-Noise Ratio Constrained Channels

Fault Detection over Signal-to-Noise Ratio Constrained Chann...

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第25届中国控制与决策会议

作者： Li Zhi-Jun Guo Fu-Min Sun De-Hui Han Cun-Wu The Key Lab of Fieldbus and Automation Technology of Beijing North China University of Technology

ISBN: (纸本)9781467355339

In this paper, the fault detection problem of feedback control systems with Signal-to-Noise Ratio （SNR） constrained channels is studied. A residual generation based on system model is designed to guarantee the best trade-off between sensitivity to fault and robustness to system disturbance as well as channel noise. A norm-based Residual evaluation function is used and an on-line dynamic threshold is provided. Then the false alarm rate of designed threshold can be computed with the assistance of Chebyshev’s inequality. Simulation results show the effectiveness of the proposed method.

关键词： Fault detection SNR residual generation Residual evaluation

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