摘要
针对远程制导火箭弹采用传统数值积分迭代法求取射击效率计算量大,不能满足打击目标前快速进行毁伤效能评估与预测要求的问题,利用BP神经网络设计了快速计算射击效率的方法。介绍火箭弹射击效率方程,并分析BP神经网络使用的可行性,利用遗传算法优化BP神经网络并建立射击效率计算模型,最后使用Matlab完成仿真。结果表明:该方法具有较高的计算精度和效率,可为打击目标前快速实现毁伤效能评估与预测提供技术支持。
Aiming at the problem that the traditional numerical integration iteration method for long-range guided rockets has a large amount of calculation to calculate the firing efficiency,which cannot meet the requirements of fast damage effectiveness evaluation and prediction before striking the target,a method for fast calculation of firing efficiency is designed by using BP neural network.First,the rocket firing efficiency equation is introduced,and the feasibility of using BP neural network is analyzed.Then,the genetic algorithm is used to optimize the BP neural network and the firing efficiency calculation model is established.Finally,Matlab is used to complete the simulation.The results show that the method has high calculation accuracy and efficiency,and can provide technical support for quickly realizing damage effectiveness evaluation and prediction before striking the target.
作者
陈俊霖
侯麒麟
宁文学
王佳丽
王娟
CHEN Junlin;HOU Qilin;NING Wenxue;WANG Jiali;WANG Juan(North Automatic Control Technology Institute,Taiyuan 030006,China)
出处
《火力与指挥控制》
CSCD
北大核心
2022年第6期87-92,共6页
Fire Control & Command Control
关键词
远程制导火箭弹
BP神经网络
遗传算法
射击效率
long-range guided rocket
BP neural network
genetic algorithm
firing efficiency
