基于PSO的制导炮弹射击修正量分析  

Firing Correction Analysis of Guided Projectile Based on Particle SwarmOptimization

作　　者：许俊飞 卢发兴[1] 王航宇[1] 吴玲[1] XU Jun-fei;LU Fa-xing;WANG Hang-yu;WU Ling(College of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学兵器工程学院,武汉430033

出　　处：《火力与指挥控制》2020年第5期39-44,50,共7页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(61703419)。

摘　　要：针对复杂、非线性的制导炮弹射击修正量问题,提出了基于粒子群优化(PSO)算法的制导炮弹射击修正量求解模型。通过建立制导炮弹的外弹道模型为射击误差分析提供基础,从射击密集度、射击准确度两方面对舰炮武器系统的射击精度进行分析,以单发命中概率为射击要求,以改进的PSO启发式搜索策略实现对制导炮弹的射击修正量求解,最终结合蒙特卡洛方法可实现对不同初速、不同射击距离下制导炮弹的射击修正量求解。仿真结果表明算法的可用性,并且能够为制导炮弹的论证设计提供理论支撑。A model for calculating firing correction of guided projectile based on particle swarm optimization(PSO)algorithm is proposed aiming at the Complex and Nonlinear firing correction of guided projectile.Establishing the external ballistic model of guided projectile which provides basis for firing error analysis.The firing accuracy of naval gun weapon system is analyzed from two aspects of firing density and firing accuracy.Taking single-shot probability as shooting requirement and using an improved PSO heuristic search strategy to solve the firing correction of guided projectile.Finally,the firing correction of guided projectiles with different initial velocities and firing distances can be solved combined with Monte Carlo method.The simulation results show that the algorithm is available and can provide theoretical support for the demonstration design of guided projectiles.

关 键 词：系统工程 制导炮弹 射击精度 射击修正量 PSO 

分 类 号：TJ413.6[兵器科学与技术—火炮、自动武器与弹药工程] TP391.9[自动化与计算机技术—计算机应用技术]