具有扰动的非线性系统鲁棒故障估计观测器设计  

Design of Robust Fault Estimator for Nonlinear Systems with Perturbations

作　　者：侯黎阳 黄睿睿 陈政权 HOU Liyang;HUANG Ruirui;CHEN Zhengquan(Henan University,School of Computer and Information Engineering,Kaifeng 475004,China;Henan University,Henan Key Laboratory of Big Data Analysis and Processing,Kaifeng 475004,China;Henan University,College English Department,Kaifeng 475004,China)

机构地区：[1]河南大学计算机与信息工程学院,河南开封475004 [2]河南大学河南省大数据分析与处理重点实验室,河南开封475004 [3]河南大学大学外语教研部,河南开封475004

出　　处：《电光与控制》2020年第6期111-116,共6页Electronics Optics & Control

基　　金：国家自然科学基金(61374134);河南省自然科学基金(162300410030)。

摘　　要：针对具有扰动的一类非线性系统的故障估计问题,设计了一种新的H∞鲁棒观测器与故障估计滤波器相结合的方法。该方法首先通过引入H∞性能指标,抑制了未知扰动及系统噪声的影响,同时也抑制了故障估计误差受故障变化率的影响,从而增加了故障估计的快速性和鲁棒性;其次,通过H∞鲁棒观测器抑制后的残差信号调整估计故障,然后设计滤波器的阈值,将阈值的大小与残差范数进行比较,判断是否启动滤波器,滤波器的设计使得系统鲁棒性进一步增强。仿真结果验证了所提方法的有效性及正确性。Aiming at the fault estimation problem of a class of nonlinear systems with disturbance,a new method combining H∞robust observer with fault estimation filter is designed.Firstly,this method inhibits the influence of unknown disturbance and system noise by introducing H∞performance index,and inhibits the influence of the rate of fault change on fault estimation error,thus to increase the rapidity and robustness of fault estimation.Secondly,the estimation fault is adjusted by the residual signal after suppression of the H∞robust observer,and then the threshold value of the filter is designed,and the threshold is compared with the residual norm to determine whether the filter is started or not.The design of the filter further enhances the robustness of the system.Finally,the simulation results verify the validity and correctness of the proposed method.

关 键 词：非线性系统 故障估计 鲁棒观测器 滤波器 阈值 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]