Coordinated Target Assignment for Multi-Spacecraft Telescopic Missions

Huma Rehman Baig, Ali Nasir
{"title":"Coordinated Target Assignment for Multi-Spacecraft Telescopic Missions","authors":"Huma Rehman Baig, Ali Nasir","doi":"10.1109/IBCAST.2019.8667244","DOIUrl":null,"url":null,"abstract":"Space telescopic missions have been deployed for about half a century. Plenty of information about the characteristics of various asteroids and stars has been collected and analyzed through these missions. While there has been a lot of work done on the individual scheduling of space telescope missions, collaborative or coordinated scheduling of multiple space telescopes is relatively less explored. Coordinated scheduling is important to obtain scientific data in an efficient and robust manner. Therefore, this paper proposes a framework for coordinated target assignment of space telescopic missions that enables different satellites to share objectives of collection of scientific data. The proposed framework considers the cost involved in various scientific data collection activities with relevance to each individual space telescope. Satellite workload constraints and possibility of occurrence of faults have also been considered. Performance of the optimal policy calculated using the proposed model has been compared with a rule-based target assignment policy and superiority of the proposed approach has been demonstrated.","PeriodicalId":335329,"journal":{"name":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBCAST.2019.8667244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Space telescopic missions have been deployed for about half a century. Plenty of information about the characteristics of various asteroids and stars has been collected and analyzed through these missions. While there has been a lot of work done on the individual scheduling of space telescope missions, collaborative or coordinated scheduling of multiple space telescopes is relatively less explored. Coordinated scheduling is important to obtain scientific data in an efficient and robust manner. Therefore, this paper proposes a framework for coordinated target assignment of space telescopic missions that enables different satellites to share objectives of collection of scientific data. The proposed framework considers the cost involved in various scientific data collection activities with relevance to each individual space telescope. Satellite workload constraints and possibility of occurrence of faults have also been considered. Performance of the optimal policy calculated using the proposed model has been compared with a rule-based target assignment policy and superiority of the proposed approach has been demonstrated.
多航天器望远镜任务协调目标分配
太空望远镜任务已经部署了大约半个世纪。通过这些任务,已经收集和分析了大量关于各种小行星和恒星特征的信息。虽然在空间望远镜任务的单独调度方面已经做了很多工作,但对多个空间望远镜的协作或协调调度的探索相对较少。协调调度对于高效、稳健地获取科学数据至关重要。因此,本文提出了一种空间望远镜任务协调目标分配框架,使不同卫星能够共享科学数据收集目标。拟议的框架考虑到与每个空间望远镜有关的各种科学数据收集活动所涉及的费用。还考虑了卫星工作负荷的限制和故障发生的可能性。利用该模型计算的最优策略的性能与基于规则的目标分配策略进行了比较,并证明了该方法的优越性。
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 求助全文
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