摘要
针对复杂约束条件下子母型航天器在轨服务过程中的任务规划问题,首先设计了子母型航天器飞行任务流程。其次,在考虑时间、光照、距离限制等约束下,提出了一套两层混合式优化方法。该方法上层采用改进自适应遗传算法来优化任务流程中不同阶段的时间节点,下层通过多圈Lambert算法、双脉冲控制算法以及打靶修正法来优化上层时间节点固定情况下不同阶段的飞行轨迹,从而解决不同场景下子母型航天器抵近观测任务流程规划问题,并减少燃料消耗。最后,将该方法应用到两个典型任务场景中,通过仿真进一步验证了该任务规划算法设计的可行性和有效性。
To address the task planning problem of parent-child spacecraft in orbit service under complex constraint conditions,the flight mission process of the parent-child spacecraft is designed.Firstly.Secondly,a two-level hybrid optimization method is proposed considering constraints such as time,lighting,and distance.The upper level of this method adopts an improved adaptive genetic algorithm to optimize the time nodes in different stages of the mission process.The lower level uses the multi loop Lambert algorithm,dual pulse control algorithm,and target correction method to optimize the flight trajectories of different stages under fixed time nodes in the upper level,thereby solving the problem of planning the approach observation mission process of parent-child spacecraft in different scenarios and reducing fuel consumption.Finally,the method is applied to two typical mission scenarios,and the feasibility and effectiveness of the mission planning algorithm design are further verified through simulation.
作者
文启翟
康志宇
卫国宁
贺彦博
吴斌
周睿逸
WEN Qidi;KANG Zhiyu;WEI Guoning;HE Yanbo;WU Bin;ZHOU Ruiyi(Shanghai Aerospace Systems Engineering Institution,Shanghai 201109,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2023年第12期3941-3948,共8页
Systems Engineering and Electronics
关键词
子母型航天器
任务规划
两层混合式优化方法
自适应遗传算法
parent-child spacecraft
mission planning
two-level hybrid optimization method
adaptive genetic algorithm
