基于遗传算法的导弹最小落点散布飞行程序选择  

Choosing of the Minimum Dispersion Missile Flight Program Based on Genetic Algorithm

作　　者：刘新学[1] 刘开封[1] 

机构地区：[1]第二炮兵工程学院,西安710025

出　　处：《弹箭与制导学报》2009年第2期41-44,共4页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：导弹惯性组合输出模型中各系数的发射前标定值与导弹实际飞行中的各系数的真实值之间存在随机误差。文中运用蒙特卡罗方法模拟此误差,并基于遗传算法选择出一条在此误差下落点散布最小的飞行程序。仿真结果表明,文中求得的飞行程序能有效提高导弹的射击精度。There are random errors between the values given before launch and the real values in flight of the coefficients in missile inertial measurement unit output models. This paper simulates these errors with Monte Carlo method and finds out a minimum dispersion flight program on the basis of genetic algorithm. The simulation results show that the flight program chose with this method can efficiently boost the shooting accuracy of the missile.

关 键 词：惯性组合 飞行程序 蒙特卡罗 遗传算法 

分 类 号：TJ765.2[兵器科学与技术—武器系统与运用工程]