状态估计与未知输入和可测噪声同时重构方法  

State estimation and simultaneous unknown input and measurement noise reconstruction

作　　者：杨俊起[1,2] 朱芳来[1] 

机构地区：[1]同济大学电子与信息工程学院,上海201804 [2]河南理工大学电气工程与自动化学院,河南焦作454000

出　　处：《控制与决策》2013年第8期1145-1151,共7页Control and Decision

基　　金：国家自然科学基金项目(61074009);高等学校博士学科点专项科研基金项目(20110072110015);上海市重点学科项目(B004)

摘　　要：针对一类不确定线性系统,讨论了状态估计及未知输入和可测噪声重构方法.首先,对仅具有未知输入的线性系统,讨论了观测器匹配条件不满足前提下的状态估计和未知输入重构问题;通过设计降维观测器和高阶滑模观测器,提出一种未知输入代数重构方法;然后,将以上结论上升到具有未知输入和可测噪声的线性系统,以此提出了状态估计及未知输入和可测噪声同时重构的方法;最后,通过对飞行器模型进行仿真,验证了所提出方法的有效性.This paper considers the problems of the state estimation and the simultaneous unknown input and measurement noise reconstruction for linear systems. For the linear systems only with unknown inputs, the issues of state estimation and unknow input reconstruction are discussed when the observer matching condition is not satisfied. A reduced-order observer is developed and a high-order sliding mode observer is proposed. After this, an unknown input reconstruction method is developed. Then, the results are extended to be suitable for linear systems with both unknown inputs and measurement noise, and a kind of simultaneous unknown inputs and measurement noise reconstruction method is proposed. Finally, a numerical simulation example is given to illustrate the effectiveness of the proposed methods.

关 键 词：未知输入重构 可测噪声重构 降维观测器 滑模观测器 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]