GEO异面多航天器在轨分层加注任务规划设计  

Optimal Mission Planning of On-Orbit Layered Refueling for Multiple Noncoplanar GEO Satellites

作　　者：刘子萌 彭秀辉 姜凯 郝仁剑 王从庆[1] LIU Zimeng;PENG Xiuhui;JIANG Kai;HAO Renjian;WANG Congqing(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;College of Aeronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Beijing Institute of Control Engineering,Beijing 100094,China;Key Laboratory of Science and Technology on Space Intelligent Control,Beijing 100094,China)

机构地区：[1]南京航空航天大学自动化学院,南京211106 [2]南京航空航天大学航天学院,南京211106 [3]北京控制工程研究所,北京100094 [4]空间智能控制技术全国重点实验室,北京100094

出　　处：《航天控制》2024年第5期69-75,共7页Aerospace Control

基　　金：国家自然科学基金青年项目(62103189);173基础加强计划技术领域基金(2022-JCJQ-JJ-0705);航空科学基金(20220051052001)。

摘　　要：针对地球同步轨道(GEO)的航天器在轨加注任务规划问题,提出了一种基于分层加注的在轨加注策略,相较于传统“一对多”加注方法可有效提高加注效率。在该加注策略中,定义了一种子服务航天器(SSc),与主服务航天器(PSSc)共同完成在轨加注任务。在此基础上,基于多圈Lambert轨道转移作为航天器轨道转移模型,得到轨道机动速度增量与转移时间关系,考虑航天器载荷与任务时间等约束条件,将航天器轨道转移的燃料成本和转移时间作为目标函数,并通过改进遗传算法来优化求解航天器加注次序与轨道转移时间。最终,通过数值仿真验证了理论的有效性。Regarding the planning of on-orbit refueling tasks for spacecraft in geosynchronous orbit(GEO),an on-orbit refueling strategy based on hierarchical refueling is proposed,which can effectively improve the refueling efficiency compared with the traditional“one-to-many”refueling method.In the proposed hierarchical on-orbit refueling strategy,a sub-service spacecraft(SSc)is defined to jointly accomplish the on-orbit refueling task with the primary service spacecraft(PSSc).On the basis of this,the spacecraft orbital transfer model based on the multi-turn Lambert orbital transfer,the relationship between orbital maneuvering speed increment and transfer time is obtained,and the fuel cost and transfer time of spacecraft orbital transfer are taken as the objective function under consideration of the constraints such as spacecraft load and mission time,and the spacecraft refueling sequence and orbital transfer time are optimally solved by using an improved genetic algorithm.Finally,the effectiveness of the theory is verified through numerical simulation.

关 键 词：在轨加注 任务规划 多目标优化 遗传算法 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]