Coordinated Target Assignment for Multi-Spacecraft Telescopic Missions

Huma Rehman Baig, Ali Nasir
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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.
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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。
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