故障识别：基于最优控制方法的方法

IF 0.6 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Automation and Remote Control Pub Date : 2023-12-21 DOI:10.1134/S0005117923090059

A. A. Kabanov, A. V. Zuev, A. N. Zhirabok, V. F. Filaretov

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引用次数: 0

摘要

摘要本文探讨了在外来干扰条件下识别（估计）线性模型描述的系统中的故障问题。该问题用最优控制方法解决；与滑模观测器相比，它们避免了高频切换。下文提出的求解方法涉及对故障敏感而对干扰不敏感的原始系统简化模型。下面通过一个例子来说明相应的理论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Fault Identification: An Approach Based on Optimal Control Methods

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Fault Identification: An Approach Based on Optimal Control Methods

This paper considers the problem of identifying (estimating) faults in systems described by linear models under exogenous disturbances. It is solved using optimal control methods; in comparison with sliding mode observers, they avoid high-frequency switching. The solution method proposed below involves a reduced model of the original system that is sensitive to faults and insensitive to disturbances. The corresponding theory is illustrated by an example.

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来源期刊

Automation and Remote Control 工程技术-仪器仪表

CiteScore

1.70

自引率

28.60%

发文量

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.).