Design of high-gain unknown input observer based on Riccati equation
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摘要: 针对具有未知输入和测量噪声的一类Lipschitz非线性系统,研究了状态估计、噪声估计及未知输入重构问题.通过将输出噪声看作扩展状态,把原系统转化为描述系统.针对描述系统,首先基于Riccati方程的解,提出了一种高增益观测器设计方法,实现对系统状态的估计和测量噪声的重构;之后,设计二阶高增益滑模观测器精确估计输出的微分,并利用状态和输出微分的估计,提出了一种未知输入的重构方法.在一Riccati方程有解的前提下,所提出的未知输入和测量噪声的重构,均适用于强时变信号.最后,对一个实际模型仿真,验证所提出方法的有效性.Abstract: For a class of Lipschitz nonlinear system, the reconstruction problems of state estimation, unknown input and measurement noise were studied. Regarding the measurement noise as an extended state, the original system can be transformed into a descriptor system. For the descriptor system, first, a high-gain observer which can estimate the states and the measurement noise of original system simultaneously was developed based on the solution of a Riccati equation. Second, a second-order high gain sliding mode observer was used to exactly estimate the derivatives of the system outputs in a finite time. Third, by using the estimates of the states and the output derivatives, an algebraic unknown input reconstruction method was proposed. It was pointed out that both the unknown input and measurement noise reconstruction methods are suitable for stronger time-varying signals. Finally, a numerical simulation of a practical model was given to illustrate the effectiveness of the proposed methods.
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