Robust Sensor Fault Reconstruction Using A Reduced Order Linear Observer

Chee Pin Tan, C. Edwards, Y. Kuang
{"title":"Robust Sensor Fault Reconstruction Using A Reduced Order Linear Observer","authors":"Chee Pin Tan, C. Edwards, Y. Kuang","doi":"10.1109/ICARCV.2006.345427","DOIUrl":null,"url":null,"abstract":"This paper presents an observer based robust sensor fault reconstruction scheme. A popular observer based robust fault detection method is eigenstructure assignment; where the observer has certain eigenvectors, resulting in the fault detection scheme being decoupled from disturbances. This paper firstly investigates the existence conditions for the right eigenvector assignment method. Then an alternative scheme using reduced order observers is presented, with existence conditions that are less restrictive than that of right eigenvector assignment, whilst still being decoupled from disturbances. Following that, it proposes a design method for the observer using linear matrix inequalities. A design example validates the work in this paper; where the fault reconstruction scheme is totally decoupled from any disturbances","PeriodicalId":415827,"journal":{"name":"2006 9th International Conference on Control, Automation, Robotics and Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 9th International Conference on Control, Automation, Robotics and Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARCV.2006.345427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This paper presents an observer based robust sensor fault reconstruction scheme. A popular observer based robust fault detection method is eigenstructure assignment; where the observer has certain eigenvectors, resulting in the fault detection scheme being decoupled from disturbances. This paper firstly investigates the existence conditions for the right eigenvector assignment method. Then an alternative scheme using reduced order observers is presented, with existence conditions that are less restrictive than that of right eigenvector assignment, whilst still being decoupled from disturbances. Following that, it proposes a design method for the observer using linear matrix inequalities. A design example validates the work in this paper; where the fault reconstruction scheme is totally decoupled from any disturbances
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于降阶线性观测器的鲁棒传感器故障重构
提出了一种基于观测器的鲁棒传感器故障重构方案。一种流行的基于观测器的鲁棒故障检测方法是特征结构分配;其中观测器具有一定的特征向量,使得故障检测方案与干扰解耦。本文首先研究了右特征向量分配方法的存在条件。然后提出了一种使用降阶观测器的替代方案,其存在条件比右特征向量分配的存在条件约束更小,同时仍然与干扰解耦。然后,提出了一种利用线性矩阵不等式设计观测器的方法。设计实例验证了本文所做的工作;其中故障重建方案与任何干扰完全解耦
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
μ-Interaction Measure for Unstable Systems GestureCam: A Smart Camera for Gesture Recognition and Gesture-Controlled Web Navigation A HHMM-Based Approach for Robust Fall Detection Verifying a User in a Personal Face Space The Effect of Image Resolution on the Performance of a Face Recognition System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1