Multitree Search for Multisatellite Responsiveness Scheduling Considering Orbital Maneuvering
Multitree Search for Multisatellite Responsiveness Scheduling Considering Orbital Maneuvering
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DOI：
10.1109/taes.2021.3129723
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发表时间：
2022-06
影响因子：
4.4
通讯作者：
Zhong-hao Zhang;Nan Zhang;Yifei Jiao;H. Baoyin;Junfeng Li
中科院分区：
文献类型：
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作者：
Zhong-hao Zhang;Nan Zhang;Yifei Jiao;H. Baoyin;Junfeng Li
快速和反应灵敏的地球观测卫星能够在发生突发灾害事件时评估灾害风险，提高救济效力，并减少痛苦和死亡人数。轨道机动是一种很有前途的快速响应空间卫星方法。本文介绍了一种多树搜索框架的多卫星响应性调度考虑轨道机动，多个地面目标的多个观测卫星在很短的时间内合作观察。该方法在传统树搜索的基础上，构造多棵树，将所有目标分布到多颗卫星上，从而优化单颗卫星的观测序列。为了应用树搜索算法，使用由多棵树中的对应节点组成的树节点集合（TNC）来表示每个卫星的状态。在扩展阶段之前，确定TNC中的一个特定节点用于以后的扩展。然后使用波束搜索来优化观测序列。研究了利用脉冲机动的地面航迹调整技术对给定目标的访问。在典型的多卫星响应调度场景中，该框架比其他算法更有效，并且比以前的最佳方法具有更好的性能。
Rapid and responsive Earth observation satellites enable the evaluation of disaster risk, improve relief effectiveness, and reduce suffering and fatalities in the event of sudden disaster events. One promising method for responsive space satellites is orbital maneuvering. This article describes a multitree search framework for multisatellite responsiveness scheduling considering orbital maneuvering, where multiple ground targets are cooperatively observed by multiple observation satellites over a short period of time. Based on the traditional tree search, the proposed method constructs multiple trees and distributes all the targets to multiple satellites, allowing the observation sequence of a single satellite to be optimized. To apply the tree search algorithm, a tree node collection (TNC) composed of the corresponding nodes in multiple trees is used to represent the state of each satellite. Before the expansion phase, one specific node in the TNC is determined for later expansion. A beam search is then used to optimize the observation sequence. Ground-track adjustment techniques using impulse maneuver are considered for visiting a given target. The proposed framework is more effective than other algorithms and achieves a better performance than the previous best method in a typical multisatellite responsiveness scheduling scenario.