以观测器为基础的量化网络化系统故障检测

Observer-based fault detection filter for quantized networked control system

文中针对具有未知输入和不确定扰动信号的系统,研究一类以观测器为基础的量化网络化系统故障检测问题。首先,引入时变量化器,对输出信号进行量化处理,在此基础上,对原系统建立故障检测滤波器,通过比较原系统与观测器的输出,建立故障检测滤波器误差系统。最后,基于H∞稳定性理论,将故障检测滤波器问题转化为问题。在论证过程中结合LMI有关定理,给出仿真实例,验证文中方法的有效性。

The study is concerned with the problem of observer-based fault detection filter for quantized networked control system （NCS） with the unknown disturbance input and fault signal First, the time-invariant quantiser is constructed, the output data are quantized, then, the fault detection filter is designed for original system. Through compared the original and observer＇s output, the fault detection filter error system is found. Finally, based on the H∞ stability theory, the fault detection problem can be further converted into H∞ attenuation problem. In the demonstration, relatived theories of LMI, the raised illustrative example shows the effectiveness of the proposed method.