Unknown input estimation for a kind of uncertain systems

Dong Han; Fanglai Zhu

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Unknown input estimation for a kind of uncertain systems

机译：一类不确定系统的未知输入估计

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摘要

Different from using equivalent output injection term in sliding mode to reconstruct the unknown input, this paper introduces another approach to reconstruct the unknown input for a class of uncertain systems. Based on a kind of reduced-order observer, and by employing the estimate of output vector's derivative which is obtained through constructing high-gain observers as approximate differentiators, an algebraic approach is used to estimate the unknown input. The error between the real unknown input and the estimate of unknown input can be reduced to any degree by adjusting the gain parameter. Moreover, an extension to measurement noise case is investigated. Finally, the simulation results show that the proposed method is effective.

机译：与在滑模模式下使用等效输出注入项重构未知输入的方法不同，本文介绍了另一类针对不确定系统重构未知输入的方法。基于一种降阶观测器，并通过使用构建高增益观测器作为近似微分器获得的输出矢量导数的估计，使用代数方法来估计未知输入。通过调整增益参数，可以将实际未知输入和未知输入的估计之间的误差减小到任何程度。此外，研究了扩展到测量噪声情况。仿真结果表明该方法是有效的。

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《International journal of system control and information processing》 |2012年第2期|共13页
作者
Dong Han; Fanglai Zhu;
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正文语种 eng
中图分类自动化技术、计算机技术;
关键词
High-gain observer; Measurement noise; Reduced-order observer; Unknown inputs estimation;

机译：高增益观测器;测量噪声;降阶观测器;未知输入估计;

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Unknown input estimation for a kind of uncertain systems

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