Optimal multi-objective low-thrust spacecraft trajectories

被引：98

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

页码：387 / 402

页数：16

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