Fault detection in uncertain systems via proportional integral observer

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
Lixiong Lin
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引用次数: 0

Abstract

This article focuses on the design of a proportional integral observer (PIO) for fault detection in uncertain systems. For multi-output linear systems with actuator fault and disturbances, an approach using two PIOs is designed to estimate both the system states and disturbances simultaneously when the actuator fault is free. Then a residual generator based on the output function is used to identify whether the fault is occurring. For a class of nonlinear systems with constant disturbances, a full-order PIO is designed to estimate the disturbances. Similarly, the residual generator is used to identify whether the fault is occurring. Numerical examples are given to show the efficiency of the proposed approach.
基于比例积分观测器的不确定系统故障检测
本文主要研究用于不确定系统故障检测的比例积分观测器(PIO)的设计。对于具有执行器故障和扰动的多输出线性系统,设计了一种使用两个PIO的方法,以在执行器故障空闲时同时估计系统状态和扰动。然后使用基于输出函数的残差生成器来识别故障是否正在发生。对于一类具有常扰动的非线性系统,设计了一个全阶PIO来估计扰动。类似地,残差生成器用于识别故障是否正在发生。数值算例表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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