Optimal interplanetary spacecraft trajectories via a Pareto genetic algorithm

被引：0
|
作者：
Hartmann, JW [1 ]
Coverstone-Carroll, VL [1 ]
Williams, SN [1 ]
机构：
[1] Univ Illinois, Dept Aeronaut & Astronaut Engn, Talbot Lab 305A, Urbana, IL 61801 USA
来源：
SPACEFLIGHT MECHANICS 1998, VOL 99, PTS 1 AND 2 | 1998年 / 99卷
关键词：
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A Pareto genetic algorithm is applied to the optimization of low-thrust interplanetary spacecraft trajectories. A multi-objective, nondominated sorting genetic algorithm is developed following existing methodologies. A hybridized scheme is designed integrating the Pareto genetic algorithm with a calculus-of-variations-based trajectory optimization algorithm. "Families" of Pareto optimal trajectories are generated for the cases of Earth-Mars flyby and rendezvous trajectories. A novel trajectory type generated by the Pareto algorithm is expanded to develop a series of versatile, high-performance Earth-Mars rendezvous trajectories.
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收藏
页码：1439 / 1454
页数：16
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