空间控制技术与应用2025，Vol.51Issue(1)：75-84,10.DOI:10.3969/j.issn.1674-1579.2025.01.008
基于ASAPSO混合算法的双脉冲变轨拦截轨迹优化
Trajectory Optimization of Dual-Pulse Orbit Transfer Interception Based on ASAPSO Hybrid Algorithm
摘要
Abstract
An adaptive simulated annealing particle swarm optimization(ASAPSO)algorithm is introduced to solve the problem of Lambert dual-pulse orbital interception,which aims to achieve the minimum fuel consumption by op-timizing the sum of the speed increments of the two pulses.First,a mathematical model of orbit change interception is constructed based on Lambert's fixed-time flight theorem.Assuming that the spacecraft maneuvers to pursue the target within one week of its initial orbit flight,the time of two pulse orbit changes is set as the decision variable,the fuel consumption is taken as the fitness function,and the ASAPSO hybrid algorithm is adopted as the optimiza-tion strategy.Secondly,in order to verify the effectiveness of ASAPSO algorithm,traditional particle swarm optimi-zation(PSO),simulated annealing particle swarm optimization(SAPSO)and reinforcement learning particle swarm optimization(RLPSO)are used to optimize the same model.The comparison shows that ASAPSO algorithm can quickly converge to the global optimal solution in less iterations,which greatly reduces the computation amount and time to deal with the orbital interception problem.The algorithm combines the global search capability of PSO and the local optimization characteristics of SA to provide a more efficient and accurate solution to the Lambert double pulse orbit change interception problem.关键词
Lambert变轨拦截/粒子群算法/模拟退火算法/参数自适应Key words
Lambert orbit interception/particle swarm optimization algorithm/simulated annealing algorithm/pa-rameter adaptive引用本文复制引用
杨慧婷,王庆辉..基于ASAPSO混合算法的双脉冲变轨拦截轨迹优化[J].空间控制技术与应用,2025,51(1):75-84,10.基金项目
辽宁省教育厅一般资助项目(JYTMS20231500) General Project of Liaoning Provincial Department of Education(JYTMS20231500) （JYTMS20231500）
