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Preparation of Papers for IFAC Conferences amp; Symposia: Autonomous Distribution Algorithm for Formation Satellites Under Emergent Imaging Requests

机译:适用于IFAC会议与专题讨论的论文:新兴成像请求下的形成卫星自主分配算法

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In order to quick response to emergencies such as air crash and natural disaster, satellites on orbit are desirable to fast achieve imaging sequence for real-time tasks. To select targets in hot area for formation flying satellites, two types of “select-by-grade” algorithms are presented to obtain an appropriate imaging sequence for each satellite. First, ground targets are divided into different groups with different grades in terms of their significances. By making analysis on constraints of target locations and satellite performances, the autonomous task planning is treated as a stepwise optimization problem where the objective function is to maximize the overall imaging gain for all satellites. Second, to solve the optimization problem, the aforementioned different grades ground targets are assigned to different satellites by pre-defined distribution schemes. Finally, a simulation example is provided to illustrate the effectiveness of the proposed algorithms.
机译:为了快速应对空中崩溃和自然灾害等紧急情况,轨道上的卫星是希望快速实现实时任务的成像序列。为了选择用于形成飞行卫星的热区域的目标,提出了两种类型的“选择级”算法以获得每个卫星的适当成像序列。首先,在其意义方面,地面目标分为不同等级的不同群体。通过分析目标位置和卫星性能的约束,自主任务规划被视为逐步优化问题,其中目标函数是最大化所有卫星的整体成像增益。其次,为了解决优化问题,通过预定定义的分配方案将上述不同的等级地面目标分配给不同的卫星。最后,提供了一种模拟示例以说明所提出的算法的有效性。

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