基于改进遗传算法的多脉冲交会轨道优化研究  

Optimization Multiple-impulse Orbital Rendezvous basing on Multiple Mutation Adaptive Genetic Algorithms

作　　者：杨俊[1] 

机构地区：[1]中国民航飞行学院飞行技术学院,四川广汉618307

出　　处：《计算机仿真》2012年第5期94-97,共4页Computer Simulation

摘　　要：最优空间多脉冲轨道交会是一个复杂的非线性系统。由于结构复杂,存在非线性特性,影响系统的快速性和实时性。建立最优空间多脉冲轨道交会模型,传统遗传算法不能满足要求,因此提出了在自适应遗传算法的基础上引入多位变异的多变异位自适应遗传算法,对空间多脉冲交会轨道优化进行了求解。多变异位自适应遗传算法增加了种群的多样性,可避免算法的早熟收敛现象。仿真结果表明,利用多位变异自适应遗传算法求解空间多脉冲交会轨道优化效果好,避免了早期收敛,提高了全局寻优能力,为多脉冲交会轨道优化提供了较好的方法。The optimization of multiple-impulse orbital rendezvous is a complex nonlinear system. The system＇s rapid and real-time feature is affected by its complex construction and nonlinear, and the traditional genetic algo- rithms cannot solve this problem very excellent. To developing the optimization multiple-impulse orbital rendezvous model, this paper used the multiple mutation adaptive genetic algorithms （MMAGA） to solve the optimization multi- ple-impulse orbital rendezvous. The MMAGA took multiple bit mutation into adaptive genetic algorithms, which in- creased the diversity of the population. The simulation results show that the MMAGA is an ideal tool to solve this problem which avoids the convergence phenomenon and improves the ability of the global optimization of the genetic algorithms.

关 键 词：轨道交会 轨道优化 改进遗传算法 多变异位自适应遗传算法 

分 类 号：V412.4[航空宇航科学与技术—航空宇航推进理论与工程]