Sensor fault estimation based on L∞ unknown input observer

IF 1.6 4区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

IMA Journal of Mathematical Control and Information Pub Date : 2023-09-20 DOI:10.1093/imamci/dnad024

Sheng Gao, Hailong Zhang, Weiguo Kong, Zhaoguang Wang

引用次数: 0

Abstract

Abstract This study investigates the fault estimation problem for a class of Lipschitz non-linear systems with sensor faults and disturbances. An augmented system consisting of system states and sensor faults is constructed to estimate sensor faults by designing an augmented state. A novel L∞ performance index is presented to reduce the influence of disturbances on fault estimation results. An unknown input observer (UIO) is proposed based on the L∞ performance index to achieve an asymptotic estimation of sensor faults. The design conditions of the L∞ UIO are deduced and solved using linear matrix inequalities. The effectiveness of the proposed L∞ UIO and the fault estimation performance are demonstrated via numerical simulations of a single-link flexible joint robot.

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基于L∞未知输入观测器的传感器故障估计

摘要研究了一类具有传感器故障和扰动的Lipschitz非线性系统的故障估计问题。构造了一个由系统状态和传感器故障组成的增强系统，通过设计增强状态来估计传感器故障。为了减小干扰对故障估计结果的影响，提出了一种新的L∞性能指标。提出了一种基于L∞性能指标的未知输入观测器(UIO)来实现传感器故障的渐近估计。推导了L∞UIO的设计条件，并用线性矩阵不等式求解。通过对单连杆柔性关节机器人的数值仿真，验证了该方法的有效性和故障估计性能。

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

IMA Journal of Mathematical Control and Information 工程技术-应用数学

CiteScore

3.30

自引率

6.70%

发文量

审稿时长

>12 weeks

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