线性系统中基于输出的扰动补偿自适应辅助回路

IF 0.6 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
A. Glushchenko, K. Lastochkin
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引用次数: 0

摘要

研究了影响未知参数最小相位线性系统的有界加性扰动的输出反馈补偿问题。开发了一种自适应辅助回路,它不需要知道扰动模型,并允许人们:(a)分离参数扰动和加性扰动的估计过程,(b)如果满足参数可辨识的条件,则以任何给定的精度估计和补偿加性扰动。上述两种不同性质扰动的分离估计是通过增大A.M.来实现的基于工具变量法和动态回归扩展与混合(DREM)过程的Tsykunov辅助环法辨识未知参数。所得到的加性摄动补偿系统具有一定的应用潜力,可与传统的工业PI-、pid控制器配合使用。通过数学模型验证了本研究的理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Adaptive Auxiliary Loop for Output-Based Compensation of Perturbations in Linear Systems

Adaptive Auxiliary Loop for Output-Based Compensation of Perturbations in Linear Systems

The problem of output-feedback compensation of bounded additive perturbations affecting a minimum-phase linear system with unknown parameters is considered. An adaptive auxiliary loop is developed, which does not require to know the perturbation model and allows one to: (a) separate the processes of estimation of parametric and additive perturbations, (b) estimate and compensate for the additive perturbation with any given accuracy if the conditions of the parametric identifiability are met. The above-mentioned separated estimation of two disturbances of different nature is achieved by augmentation of the A.M. Tsykunov auxiliary loop method with the law to identify the unknown parameters, which is based on the instrumental variables approach and the procedure of dynamic regressor extension and mixing (DREM). The obtained system of the additive perturbations compensation has a certain potential to be used together with the conventional industrial PI-, PID-controllers. The theoretical results of this study are validated via mathematical modelling.

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来源期刊
Automation and Remote Control
Automation and Remote Control 工程技术-仪器仪表
CiteScore
1.70
自引率
28.60%
发文量
90
审稿时长
3-8 weeks
期刊介绍: Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).
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