小行星探测多脉冲交会轨道多目标优化

现有的小行星探测交会轨道研究多集中于二脉冲最优燃料研究,本文则研究了小行星探测多脉冲交会轨道多目标优化问题.基于Lambert交会算法建立了包含地球逃逸轨道和日心转移轨道的多脉冲交会轨道优化模型,以燃料消耗最小和转移时间最短为两个优化目标函数.采用一类典型的多目标进化算法——NSGA -Ⅱ用于Pareto最优解的确定....

Multi-objective Optimization of Multi-impulse Rendezvous Trajectory for Exploring Asteroids

The current studies on optimal rendezvous trajectories for exploring asteroids always concentrate on the fuel-optimal two-impulse rendezvous, while the aim of this paper is aimed to investigate the multi-objective optimization problem of multiple-impulse rendezvous for exploring asteroids. A multiple-impulse rendezvous optimization model using Lambert algorithm for exploring asteroids including earth departure and heliocentric transfer phases was established, which utilized minimum-fuel cost and minimum-time transfer as two objective functions. The NSGA-II algorithm, a very representative multi-objective evolutionary algorithm, was employed to obtain the Pareto solution set. The effectiveness of the proposed optimization model and algorithm was testified by solving two asteroids mission design problems. The results show that the proposed method can effectively and efficiently demonstrate the relations among the mission characteristic parameters such as launch time, transfer time and total fuel cost, and analyze the influences of different impulse numbers, and also compare and evaluate different exploration missions. The proposed method has good application value for preliminary mission design for asteroid exploration.