加性高斯白噪声信道下网络化控制系统的故障检测

Fault detection for networked control systems with additive white Gaussian noise channels

针对带有信噪比约束的加性高斯白噪声信道的网络化控制系统,研究了基于观测器的故障检测系统的设计问题。为了使残差信号能够对故障有高的灵敏度,同时对干扰和信道噪声有高的鲁棒性,设计了基于H∝/H∝性能指标的残差发生器,提出了一种基于范数的残差评价函数和相应的动态阈值计算方法,并根据切比雪夫不等式,给出了所设计的故障检测系统的误报率。仿真实例验证了所提方法的有效性。

The problem of designing an observer-based fault detection system for networked control systems （NCS） with additive white Gaussian noise （AWGN） channels subject to signal-to-noise ratio （SNR） constraints is addressed. A residual generation based on H∝ /H∝ performance index is designed to guarantee the best trade-off between sensitivity to fault and robustness to sys- tem disturbance as well as channel noise. A norm based residual evaluation function and a corresponding dynamic threshold are provided. With the assistance of Chebyshev＇s inequality, the false alarm rate of the designed fault detection system is given. Sim- ulation results show the effectiveness of the proposed method.