固体火箭发动机总体优化设计  

The optimal design of solid rocket motors

作　　者：王鹏[1] 李旭昌[1] 徐颖军[1] 

机构地区：[1]空军工程大学导弹学院,陕西西安713800

出　　处：《火箭推进》2007年第4期16-19,共4页Journal of Rocket Propulsion

摘　　要：通过遗传算法与惩罚函数相结合对固体火箭发动机总体进行优化设计,令体积比冲IV为目标函数,并采用交叉概率和变异概率的自适应调整性,有效地加快了搜索。用此方法对算例发动机各参数和目标函数优化,避免了设计变量之间较为复杂的相互关系,得到固体火箭发动机体积比冲的全局最优解,提高了整体性能。Genetic algorithm and penalty function was used in performance optimal design of soild rocket motor with Iv as the target function, and the self-adaptive adjustment of cross-over probability and mutation probability were also used. The method increases convergence speed and improves precision effectively. It is also very useful for the optimizing of each parameter and target function by avoiding the complex relationship of the parameters.

关 键 词：固体火箭发动机 遗传算法 惩罚函数 

分 类 号：V435[航空宇航科学与技术—航空宇航推进理论与工程]