Micro-thrust high-precision satellite formation system based on Cartwheel configuration
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摘要:
近距离协同工作的微推力器卫星编队能更好地完成高精度空天卫星编队任务。但摄动等干扰因素会导致编队卫星间保持特定的几何构型和相对运动关系发生不确定性变化,因此有必要设计一种编队构型和信息拓扑结构以实现卫星编队的长期高精度保持。同时微推力器的作用环境要求卫星编队系统更高的可靠性和快速性。为此,基于Cartwheel构型对微推力卫星编队系统进行了研究,设计了一种能够满足系统性能要求的拓扑网络结构,并据此对卫星编队构型进行修正。提出了基于粒子群优化(PSO)算法的在线轨迹优化算法,并将其应用于卫星编队保持控制系统之中,实现了高精度、低能耗的快速稳定控制。
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关键词:
- Cartwheel构型 /
- 拓扑结构 /
- 微推力器 /
- 编队保持 /
- 协同工作
Abstract:Micro-thrust satellite formation can better complete the high-precision aerospace satellite formation tasks. Close-range cooperative work is the basic feature of satellite formation flight, and the specific geometric configuration and relative movement between the satellites is the basic condition of the cooperative formation. But perturbation and other interference factors lead to the uncertain change of the relative relationship. It is necessary to design the formation configuration and information topology to achieve long-term high-precision formation maintenance. How-ever, the micro-thruster's mechanism requires a higher reliability and fastness of the satellite formation system. To this end, a micro-thrust satellite formation system based on Cartwheel configuration is proposed, and a topological network structure is designed to meet the system performance requirements. An online trajectory optimization algorithm based on particle swarm optimization (PSO) algorithm was designed. The application to the control system of satellite formation maintenance achieves a high-precision fast and stable control with low energy consumption.
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表 1 Cartwheel构型编队4节点拓扑结构性能比较
Table 1. Topological structure performance comparison of Cartwheel configuration formation with four nodes
结构 平均最短路径 拓扑可靠性 星形 1.5 0.72 环形 1.33 0.891 7 网形 1 0.892 表 2 拓扑结构对编队构型的修正效果
Table 2. Effect of topological structure on formation configuration modification
系统所受干扰 位置误差量级/m 速度误差量级/(m·s-1) 仅加入时滞 10-12 10-15 仅加入导航误差 10-6 10-6 加入时滞和导航误差 10-6 10-6 表 3 地面事先规划所有目标点和实时PSO搜索目标点控制效果对比
Table 3. Control effect comparison between ground planning of all targets in advance and real-time searching of targets by PSO
控制策略 位置精度/m 推力器消耗/(10-5N·s) 地面事先规划 0.001 715 101 120 135 0.001 833 0.001 539 实时PSO搜索 0.001 265 554 739 0.001 517 0.001 864 表 4 在线搜索算法对于解决通信链路损坏问题的效果
Table 4. Effect of online search algorithm on problem solution of communication link damage
通信链路损坏情况 位置误差/m 推力器消耗/(10-5N·s) 无通信损坏 0.001 265 554 739 0.001 517 0.001 864 通信损坏1
(与中心星无关)0.003 387 149 158 162 0.003 451 0.001 793 通信损坏2
(与中心星有关)0.002 755 265 258 269 0.003 723 0.002 245 -
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