Robust residual generation for actuator fault isolation: A case study: Magnetic-tape-drive MIMO system

S. Herdjunanto, A. Susanto, O. Wahyunggoro
{"title":"Robust residual generation for actuator fault isolation: A case study: Magnetic-tape-drive MIMO system","authors":"S. Herdjunanto, A. Susanto, O. Wahyunggoro","doi":"10.1109/ICITEED.2013.6676288","DOIUrl":null,"url":null,"abstract":"This paper concerns with robust residuals generation such that the designed signatures can be used to isolate actuator faults simultaneously and is not sensitive to exponential autocorrelation stochastic disturbance signal which contaminates one of plant's inputs. The proposed solution of this problem consists of two stages. The first stage is to derive an internal model of stochastic disturbance signal. The internal model is then augmented to the original plant's model so that a new plant's model is obtained. The second stage is to generate a transformation matrix such that each original feature vector of actuator fault is converted into the corresponding designed directional residual with its vector direction as its signature. Based on the designed of signature vectors the modes of residual actuator fault can be decoupled one from others and robust to the stochastic disturbance signal. The transformation matrix is constructed row by row in order each row can block the disturbance signal so that strict robustness can be achieved. To demonstrate the effectiveness of the method a simulation study on a Magnetic -Tape-Drive MIMO system which has multi input and multi output is excuted. The result shows that the method has been successfully implemented.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2013.6676288","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 concerns with robust residuals generation such that the designed signatures can be used to isolate actuator faults simultaneously and is not sensitive to exponential autocorrelation stochastic disturbance signal which contaminates one of plant's inputs. The proposed solution of this problem consists of two stages. The first stage is to derive an internal model of stochastic disturbance signal. The internal model is then augmented to the original plant's model so that a new plant's model is obtained. The second stage is to generate a transformation matrix such that each original feature vector of actuator fault is converted into the corresponding designed directional residual with its vector direction as its signature. Based on the designed of signature vectors the modes of residual actuator fault can be decoupled one from others and robust to the stochastic disturbance signal. The transformation matrix is constructed row by row in order each row can block the disturbance signal so that strict robustness can be achieved. To demonstrate the effectiveness of the method a simulation study on a Magnetic -Tape-Drive MIMO system which has multi input and multi output is excuted. The result shows that the method has been successfully implemented.
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
执行器故障隔离的鲁棒残差生成:一个案例研究:磁带驱动MIMO系统
本文关注的是鲁棒残差的产生,使得所设计的特征可以同时用于隔离执行器故障,并且对污染系统输入的指数自相关随机干扰信号不敏感。这个问题的建议解决方案包括两个阶段。第一阶段是推导随机扰动信号的内部模型。然后将内部模型扩展到原始植物模型,从而获得新的植物模型。第二阶段是生成变换矩阵,将执行器故障的每个原始特征向量以其矢量方向为特征,转换为设计的相应方向残差。基于特征向量的设计,实现了执行器残余故障模间的解耦,对随机干扰信号具有鲁棒性。变换矩阵逐行构造,使每一行都能阻挡干扰信号,从而达到严格的鲁棒性。为了验证该方法的有效性,对多输入多输出的磁带驱动MIMO系统进行了仿真研究。结果表明,该方法已成功实现。
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
Thermal unit commitment solution using genetic algorithm combined with the principle of tabu search and priority list method Using estimated arithmetic means of accuracies to select features for face-based gender classification Analysis of factors influencing the mobile technology acceptance for library information services: Conceptual model News recommendation in Indonesian language based on user click behavior A kinetic energy-based feature for unsupervised motion clustering
×
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