一类受扰线性采样数据系统的鲁棒执行器故障估计  

Robust actuator fault estimation for a class of linear sampled-data systems with disturbance

作　　者：杨俊起[1] 李泽辰 崔立志[1] 谢建豪 YANG Jun-qi;LI Ze-chen;CUI Li-zhi;XIE Jian-hao(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo Henan 454000,China)

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454000

出　　处：《控制理论与应用》2023年第10期1806-1812,共7页Control Theory & Applications

基　　金：国家自然科学基金项目(61973105);河南省自然科学基金项目(232300420147)资助。

摘　　要：针对一类含有外部干扰的线性采样数据系统,本文研究了执行器故障估计问题.首先,文章设计了一种用于估计系统执行器故障的鲁棒故障估计观测器,在连续采样时间间隔内,观测器增益矩阵指数变化.之后,通过联合增广状态估计误差与故障误差,并利用Lyapunov-Krasovskii泛函和线性矩阵不等式技术,给出了保证误差系统全局渐近稳定的充分条件.同时,建立的线性矩阵不等式条件涉及调谐参数和最大采样间隔,可以较好改善状态和故障估计性能.最后,通过对某型民航飞机模型实例进行仿真,验证了本文所提方法具有更好的跟踪效果.In this paper,the actuator fault estimation problem is studied for a class of linear sampled-data systems with external disturbances.Firstly,a robust fault estimation observer is designed,where the gain matrix of the observer changes exponentially during the interval of continuous sampling.Then,a sufficient condition is provided to guarantee the global asymptotic stability of the error system by using the Lyapunov-Krasovskii function and linear matrix inequality(LMI)technique,where a new error system is constructed by augmenting the state and fault estimation errors.Besides,the parameter and maximum sampling interval in the LMI can improve the estimated performance of state and fault.Finally,a simulation about civil aviation aircraft shows that the proposed method has a better tracking effect.

关 键 词：采样数据系统 故障估计 观测器 线性矩阵不等式 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]