摘要
建立固体运载火箭弹道优化模型,提出一种基于外点罚函数法、遗传算法与方向加速法的组合算法,基于VC平台与MATLAB遗传算法工具箱,实现了太阳同步圆轨道的弹道优化仿真计算。仿真结果表明组合优化算法在解决本类问题时较其它优化算法具有更优的计算速率和计算精度。
In this paper, the optimization model for multi-stage solid rocket is established, and a new hybrid optimization method combined with sequential unconstrained minimization technique （SUMT）, genetic algorithm （GA） and Powell is proposed. Based on Visual C＋＋ and GA toolbox in MATLAB, the method is adopted for SSO trajectory optimization. The simulation results demonstrate that when dealing with those optimization problems the method is better than any other optimization algorithm in computing speed and accuracy.
出处
《导弹与航天运载技术》
北大核心
2011年第5期6-10,19,共6页
Missiles and Space Vehicles
关键词
固体运载火箭
弹道优化
遗传算法
方向加速法
运载能力
Solid launch vehicle
Trajectory optimization
Genetic algorithm
Powell
Launch capability
