粒子群算法在求解侵彻子母弹最佳抛撒高度中的应用  

Application of Particle Swarm Optimization in Calculation of Intrusive Submunition Dispenser's Optimum Dispersion Height

作　　者：闫双卡[1] 谭守林[2] 米文鹏[2] 

机构地区：[1]中国人民解放军96261部队 [2]第二炮兵工程学院

出　　处：《电光与控制》2009年第8期60-64,共5页Electronics Optics & Control

基　　金：第二炮兵武器发展科研基金项目(EP06087)

摘　　要：侵彻子母弹对目标的侵彻毁伤效果与其抛撒高度直接相关。建立子弹弹道仿真模型,求解子弹着地参数。在分析母弹抛撒高度与子弹着地参数定量关系的基础上,推导出使各子弹整体侵彻效果达到最佳的目标函数。利用粒子群的优化算法,建立侵彻子母弹最佳抛撒高度的求解模型,并进行了仿真计算。仿真结果表明,粒子群算法能够有效地达到或接近全局最优。同时,相比遗传算法,粒子群算法收敛速度更快,计算效率更高,从而为侵彻子母弹最佳抛撒高度的求解问题提供了新的有效算法。The damage effect of intrusive submunition height of the submunitions. The simulation model of dispenser has direct relationship with the dispersion bullet＇s trajectory was established, and the bullet＇s touchdown parameters were calculated out. The quantitative relationship between the dispersion height and the bullet＇s touchdown parameters was analyzed, then the objective function was found out which makes the whole intrusive effect of the bullets best. By using Particle Swarm Optimization （ PSO）, a model was built up for calculating the optimum dispersion height of intrusive submunition dispenser, and mathematical simulation was carried out. The simulation results showed that： 1 ） PSO can achieve or approximate global optimization more efficiently; 2 ） Compared with Genetic Algorithm （GA） method, PSO is faster in convergence and has higher efficiency of calculation. Therefore it supplies a new, effective optimization algorithm for calculating the instrusive submunition dispenser＇s optimum dispersion height.

关 键 词：侵彻子母弹 粒子群算法 最佳抛撒高度 弹道仿真 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TJ414.5[兵器科学与技术—火炮、自动武器与弹药工程]