Bounded flight and collision avoidance control for satellite clusters using intersatellite flight bounds

Bounded flight and collision avoidance control for satellite clusters using intersatellite flight bounds
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利用星间飞行边界对卫星群进行有界飞行和防撞控制

DOI:
10.1016/j.ast.2019.105425
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发表时间:
2019-11
影响因子:
5.6
通讯作者:
Zhang Yulin
Zhang Yulin
中科院分区:
工程技术1区
文献类型:
--
作者:
Xu Yun;Wang Zhaokui;Zhang Yulin

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提出了一种基于人工势函数的卫星群控制方法。为了避免大规模卫星群目标构形设计的巨大困难,提出的卫星群控制方法依赖于星间飞行边界,使卫星能够自主收敛到给定的边界范围,而不是一组精确的轨道构形。推导了相对轨道根数的相对运动解析界,并将其作为人工势函数的变量。累积控制量小,在小卫星集群控制中具有很大的应用潜力。另一方面,碰撞避免作为卫星集群的一个关键要求,也得到了关注。从长远的角度考虑,在排斥性人工势函数中引入了最小星间飞行边界,而不是卫星间的实时相对距离。卫星成员可以根据附近卫星的情况真实的实时调整自己的控制力度,体现了群体智能的特点。蒙特卡洛仿真结果表明,所提出的避碰控制的燃油消耗的优越性。
A novel satellite cluster control method by means of a set of artificial potential functions is proposed in this paper. To avoid the huge difficulty of designing target configuration for a large-scale satellite cluster, the proposed cluster control method relies on intersatellite flight bounds so that satellites can autonomously converge to a given boundary range, rather than a set of exact orbit configuration. The analytic relative motion bounds in terms of relative orbital elements are deduced and used as variables in artificial potential functions. The accumulated control effort is minute, that shows great potential in micro satellite cluster control. On the other hand, collision avoidance as a key requirement for satellite cluster, also gets attention in this paper. For a long-term perspective, the minimum intersatellite flight bound rather than the real-time relative distance between satellites is introduced into the repulsive artificial potential function. Satellite members can adjust their control effort in real time according to nearby satellites, which reflect the characteristic of swarm intelligence. Monte Carlo simulation reveals the superiority in fuel consumption of the proposed collision avoidance control.
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