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地心甚高轨道星座构形协同捕获控制策略
引用本文:孟云鹤,吕健康,罗宇飞.地心甚高轨道星座构形协同捕获控制策略[J].国防科技大学学报,2024,46(2):18-26.
作者姓名:孟云鹤  吕健康  罗宇飞
作者单位:中山大学 人工智能学院, 广东 珠海 519082;中山大学 物理与天文学院, 广东 珠海 519082
基金项目:国家自然科学基金资助项目(61673390);广东省基础与应用基础研究重大资助项目(2019B030302001)
摘    要:针对地心甚高轨道星座构形协同捕获控制问题,基于虚拟编队方法设计了协同捕获控制策略,采用三脉冲燃耗最优轨迹规划算法对构形捕获轨迹进行协同规划;并且结合自适应全程积分滑模控制器对卫星各自转移轨迹进行跟踪控制。以10万km轨道高度的三星星座构形捕获为例进行仿真验证,仿真结果表明:该策略可以有效应用于地心甚高轨道星座构形捕获控制,能够在燃耗较少的情况下使星座中卫星同时到达各自的标称位置,同时具有较高的精度。

关 键 词:地心甚高轨道  星座构形捕获  协同规划  三脉冲燃耗最优  滑模控制
收稿时间:2022/8/3 0:00:00

Cooperative acquisition control strategy of geocentricvery high orbit constellation configuration
MENG Yunhe,LYU Jiankang,LUO Yufei.Cooperative acquisition control strategy of geocentricvery high orbit constellation configuration[J].Journal of National University of Defense Technology,2024,46(2):18-26.
Authors:MENG Yunhe  LYU Jiankang  LUO Yufei
Institution:School of Artificial Intelligence, Sun Yat-sen University, Zhuhai 519082, China;School of Physics and Astronomy, Sun Yat-sen University, Zhuhai 519082, China
Abstract:Aiming at the cooperative acquisition control problem of geocentric very high orbit constellations, a cooperative acquisition control strategy was designed on the basis of the virtual formation method, and a three-pulse burnup optimal trajectory planning algorithm was used to coordinate the trajectory of the conformation acquisition. And the adaptive whole integral sliding mode controller was combined to track and control the transfer trajectory of the satellites. Taking the three-star constellation configuration capture at an orbital altitude of 100 000 km as an example for simulation verification, simulation results show that this strategy can be effectively applied to the configuration control of the constellation with very high geocentric orbit. It can make the satellites in the constellation reach their nominal positions at the same time with less burn up, and at the same time has high accuracy.
Keywords:geocentric very high orbit  constellation configuration capture  collaborative planning  triple-pulse burnup optimization  sliding mode control
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