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Reduced-Order Observer for Estimating Mixed Variables in Tracking Systems under Unmatched Exogenous Disturbances
Differential Equations ( IF 0.8 ) Pub Date : 2021-01-21 , DOI: 10.1134/s00122661200120149
D. V. Krasnov , A. V. Utkin

Abstract

We consider the problem of designing a tracking system for nonlinear affine SISO plants under unmatched exogenous and parametric disturbances and incomplete measurements. In the framework of the block approach, we develop a discontinuous dynamic feedback control law ensuring a tracking with a given accuracy for the output variable of the command signal under the assumption of exogenous actions being smooth. The main result of the paper is a single-parameter procedure for designing a reduced-order observer with high-gain feedbacks for measurement-based estimation of the error of tracking the mixed variables used to form the feedback.



中文翻译:

降阶观测器在无匹配外源干扰下估计跟踪系统中的混合变量

摘要

我们考虑在非匹配的外源和参数扰动以及测量不完全的情况下为非线性仿射SISO植物设计跟踪系统的问题。在块方法的框架中,我们建立了一个不连续的动态反馈控制律,以确保在外生动作平稳的前提下以给定的精度跟踪命令信号的输出变量。本文的主要结果是一种单参数程序,用于设计具有高增益反馈的降阶观察器,用于基于测量的跟踪用于形成反馈的混合变量的误差的估计。

更新日期:2021-01-21
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