基于特征根优化的无线网络控制系统故障检测滤波器设计

为提高无线传感器执行器网络(WSANs)的可靠性,本文提出了一种面向WSANs的故障检测滤波器的优化设计方法.针对无线网络固有的较大的数据包传输延迟,本文将该传输延迟对网络控制系统的影响建模为一种外部噪音,创造性地提出了基于特征根分解和扰动频率估计的优化算法,以滤除网络传输延迟导致的噪音.该方法只需在有限个频率点对目标函数进行优化,且避免了马尔科夫转移矩阵难以获得的难题.最后,通过MATLAB/NS2的混合仿真验证了该设计的有效性.

A Fault Detection Filter Design with Eigenstructure Optimization in Wireless Networked Control Systems

In order to enhance the reliability of wireless sensor actuator networks (WSANs), this paper proposes an eigenstructure optimized fault detector for wireless networked control systems.Since the random packet delays caused by the wireless communication networks has adverse impacts on the control systems, the impacts of wireless network-induced delays are modeled as an external disturbance and an eigenstructure optimization method is proposed in the frequency-domain to enhance the fault detector's sensitivity to the fault and improve its robustness against the network delays.The main advantage is that the assumption of a known transition matrix of Markov jumping system is avoided.The performance of the proposed fault detector is demonstrated by the results of hybrid MATLAB/NS2 simulations.