通过EDAs进行在轨远程机动转移

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) Pub Date : 2008-06-01 DOI:10.1109/CEC.2008.4631110

Laihong Hu, F. Sun, Hualong Xu, Huaping Liu, Fengge Wu

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引用次数: 4

摘要

远程机动转移是交会过程中消耗燃料和时间最多的问题，是一个多变量、多极值优化问题，传统的优化算法难以求解。研究了具有脉冲推力的航天器远程机动转移数学模型，基于一类新型随机优化算法，以燃料消耗最小为优化目标的分布估计算法(EDAs)对轨道转移参数进行了优化，并与遗传算法(GAs)进行了比较。仿真结果表明，eda是解决远程机动转移问题的有效方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On-orbit long-range maneuver transfer via EDAs

Long-range maneuver transfer consumes the most fuel and time of the rendezvous process, and it is a multi-variable, multi-extremum optimization problem, which is difficult to solve using traditional optimization algorithms. This paper researched the mathematical model of long-range maneuver transfer of spacecraft with impulse thrust, and optimized the parameters of orbit transfer based on a class of novel stochastic optimization algorithms, estimation of distribution algorithms (EDAs) with minimum fuel-time consumption being the optimization objective, and compared with genetic algorithms (GAs). Simulation results showed that EDAs were effective method for solving long-range maneuver transfer.

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2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)

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