Optimal multi-objective low-thrust spacecraft trajectories

被引：92
|
作者：
Coverstone-Carroll, V [1 ]
Hartmann, JW [1 ]
Mason, WJ [1 ]
机构：
[1] Univ Illinois, Dept Aeronaut & Astronaut Engn, Urbana, IL 61801 USA
来源：
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 2000年 / 186卷 / 2-4期
基金：
美国国家航空航天局;
关键词：
multi-objective space mission design; optimal spacecraft trajectories; low-thrust trajectories;
D O I：
10.1016/S0045-7825(99)00393-X
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Genetic algorithms have gained popularity as effective search procedures for obtaining solutions to traditionally difficult space mission optimization problems. In this paper, a hybrid optimization method is described that integrates a multi-objective genetic algorithm with a calculus-of-variations-based low-thrust trajectory optimizer. Fronts of Pareto optimal trajectories are generated and novel trajectories identified for both Earth-Mars and Earth-Mercury missions. (C) 2000 Elsevier Science S.A. All rights reserved.
引用
收藏
页码：387 / 402
页数：16
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