摘要
考虑发射场任务间隔时间约束,提出应用改进遗传算法的低轨星座部署策略优化方法。对近地圆轨道星座部署过程进行动力学建模,给出了部署窗口与入轨点相位差的关系,以及入轨后相位调整的代价分析。将星座部署位置组合进行参数化,加上各颗卫星部署日期间隔作为优化变量,使得在大范围日期区间内的搜索问题简化为有限维度的整数规划问题。引入改进遗传算法进行局部搜索,进而对部署策略进行寻优计算。以9颗卫星的Walker星座部署任务为例,对优化方法进行验证。结果表明:优化方法相对穷举搜索法的计算量有约7个数量级的降低,且能够用50代以内的演化计算快速得到满足发射间隔约束条件且兼顾部署总时间和相位转移量的最优解。
Considering the time constraints of mission interval at the launch site,an optimization method for LEO(low earth orbit)constellation deployment strategy is proposed in this paper.A dynamic mo ̄deling of the deployment process for low earth circular orbit constellation is conducted,and the relationship between the deployment window and the phase difference of the orbit insertion point are derived,as well as the cost analysis of phase adjustment after orbit insertion.The combination of constellation deployment position sequence is taken as a parameter,together with the sequence of satellite deployment intervals,as optimization variables,which simplifies a high-dimensional search problem within a wide range of dates to a finite-dimensional integer programming problem.An improved genetic algorithm for local search is introduced to optimize the launch deployment strategy computation.As verification,an example of a 9-satellites constellation deployment is optimized.The result shows that the optimization method reduces the computational complexity by 7 orders of magnitude compared with the exhaustion search method and can quickly obtain the optimal result that satisfies the constraint of the launch interval and takes into account the deployment time and the cost of orbital transfer using the evolutionary calculations within 50 generations.
作者
马林
刘玥
侯祥震
常新亚
王淼
MA Lin;LIU Yue;HOU Xiangzhen;CHANG Xinya;WANG Miao(Space Engineering University,PLA Strategic Support Force,Beijing 101416,China;Institute of Spacecraft Application System Engineering,China Academy of Space Technology,Beijing 100094,China;DFH Satellite Co.,Ltd.,Beijing 100094,China)
出处
《航天器工程》
CSCD
北大核心
2024年第2期9-15,共7页
Spacecraft Engineering
关键词
低轨星座部署
策略优化
发射计划约束
改进遗传算法
LEO constellation deployment
strategy optimization
launching schedule constraint
improved genetic algorithm