存在外部干扰的网络控制系统故障检测和优化

Fault Detection and Optimization for Networked Control System with External Disturbance

针对存在时延和丢包的网络控制系统,研究了系统的故障检测滤波器设计和优化设计问题。通过泰勒展开将未知时延处理成外界干扰,采用伯努利随机过程来描述丢包现象。设计观测器产生残差信号,将故障检测问题转化为H∞滤波问题。通过Lyapunov函数方法分析了系统的稳定性。以线性矩阵不等式的形式给出了滤波器存在的充分条件和求解方法。为进一步提高系统对故障信号的灵敏度,采用了一种优化设计方法对故障检测系统进行了优化。最后通过仿真验证了算法的有效性。

The problem of fault detection filter design and time domain optimization for networked control system with time delay,data dropout is investigated in the paper. The time delay existed in the network environment can be transformed as norm- bounded uncertainties of the system by Taylor expansion. And the data missing is described as Bernoulli distribution. The observer- based filter is designed to generate the residual signal,and then the problem of fault detection can be converted to a problem of H∞filtering.The Lyapunov functional method is proposed to analyze stability of the fault detection system. An optimization method is proposed to improve the sensitivity of the system to fault signal. In the end,the simulation results are given to demonstrate the effectiveness of the proposed method.