上海航天（中英文）2025，Vol.42Issue(6)：90-98,9.DOI:10.19328/j.cnki.2096-8655.2025.06.009
基于嵌套双层优化的多航天器抵近观测任务规划
Multi-spacecraft Close-in Observation Mission Planning Based on Nested Dual-layer Optimization
HOU Lixian 1MAO Chengli 1LIU Chang 1LIU Xiaomeng1
作者信息
- 1. Shanghai Space Propulsion Technology Research Institute,Shanghai 201109,China
- 折叠
摘要
Abstract
A planning strategy for multi-spacecraft close-range observation missions is proposed.The time constraint is considered,and the energy consumption is optimized.Based on the two-pulse multi-loop Lambert rendezvous principle,the inner is optimized with the particle swarm optimization(PSO)algorithm to design the time allocation for single spacecraft close-range observation missions,while the outer is optimized with the genetic algorithm(GA)to optimize the sequence for multi-spacecraft missions.The nested dual-layer optimization design is investigated.The simulation verification results show that the energy consumption for executing close-range observation missions can be effectively reduced by means of optimizing the pulse maneuver time of the single spacecraft and the mission sequence of the multi-spacecraft.关键词
双层优化/粒子群优化/遗传算法/任务规划/多航天器Key words
dual-layer optimization/particle swarm optimization/genetic algorithm(GA)/task planning/multiple spacecraft分类
航空航天引用本文复制引用
HOU Lixian,MAO Chengli,LIU Chang,LIU Xiaomeng..基于嵌套双层优化的多航天器抵近观测任务规划[J].上海航天（中英文）,2025,42(6):90-98,9.
