传感器信息集成到机器人系统中的保证估计

Darya Klepach, V. Shiryaev
{"title":"传感器信息集成到机器人系统中的保证估计","authors":"Darya Klepach, V. Shiryaev","doi":"10.1109/ICIEAM48468.2020.9111914","DOIUrl":null,"url":null,"abstract":"A robotic system is considered, in particular, a spacecraft for which the issue of combining information from sensors of the navigation systems arises. An inertial navigation system and a star sensor are taken as the main navigation systems. The algorithm of guaranteed evaluation when combining the information of the inertial navigation system and the star sensor is proposed. When solving the problem of evaluation with the help of the minimal filter, the construction of the information set, which is guaranteed to contain the true state of the system, is a computationally difficult task for large dimensional systems. Therefore, instead of the exact construction of information sets, their approximate value is used, that is approximation in the form of convex polyhedron, received by approximation from above of \"exact\" but set implicitly by the system of linear equations and inequalities of the information set. The result of guaranteed evaluation is compared with the result of evaluation by the Kalman filter.","PeriodicalId":285590,"journal":{"name":"2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Guaranteed Estimation when Integrating Sensor Information into Robot System\",\"authors\":\"Darya Klepach, V. Shiryaev\",\"doi\":\"10.1109/ICIEAM48468.2020.9111914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A robotic system is considered, in particular, a spacecraft for which the issue of combining information from sensors of the navigation systems arises. An inertial navigation system and a star sensor are taken as the main navigation systems. The algorithm of guaranteed evaluation when combining the information of the inertial navigation system and the star sensor is proposed. When solving the problem of evaluation with the help of the minimal filter, the construction of the information set, which is guaranteed to contain the true state of the system, is a computationally difficult task for large dimensional systems. Therefore, instead of the exact construction of information sets, their approximate value is used, that is approximation in the form of convex polyhedron, received by approximation from above of \\\"exact\\\" but set implicitly by the system of linear equations and inequalities of the information set. The result of guaranteed evaluation is compared with the result of evaluation by the Kalman filter.\",\"PeriodicalId\":285590,\"journal\":{\"name\":\"2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEAM48468.2020.9111914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEAM48468.2020.9111914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

一个机器人系统被认为是一个航天器,它的问题是结合来自导航系统传感器的信息。以惯性导航系统和星敏感器为主要导航系统。提出了结合惯性导航系统和星敏感器信息的保证评估算法。在利用最小滤波器求解评价问题时,对于大维系统来说,保证包含系统真实状态的信息集的构造是一项计算困难的任务。因此,不用信息集的精确构造,而是使用它们的近似值,即凸多面体形式的近似值,从上面得到“精确”的近似值,但由信息集的线性方程和不等式系统隐式地设置。将保证评价结果与卡尔曼滤波评价结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guaranteed Estimation when Integrating Sensor Information into Robot System
A robotic system is considered, in particular, a spacecraft for which the issue of combining information from sensors of the navigation systems arises. An inertial navigation system and a star sensor are taken as the main navigation systems. The algorithm of guaranteed evaluation when combining the information of the inertial navigation system and the star sensor is proposed. When solving the problem of evaluation with the help of the minimal filter, the construction of the information set, which is guaranteed to contain the true state of the system, is a computationally difficult task for large dimensional systems. Therefore, instead of the exact construction of information sets, their approximate value is used, that is approximation in the form of convex polyhedron, received by approximation from above of "exact" but set implicitly by the system of linear equations and inequalities of the information set. The result of guaranteed evaluation is compared with the result of evaluation by the Kalman filter.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信