摘要
针对潜地导弹目标控制传统计算方法计算量大的问题,首先分析了地球自转、扁率因素对潜地导弹实际射程的影响;然后通过潜地导弹目标控制计算输入输出变量的选择、输入输出数据的预处理及训练集的设计等,基于BP神经网络建立了潜地导弹目标控制的快速计算模型。仿真计算结果表明,潜地导弹目标控制快速计算模型具有较高的计算精度和较快的计算速度,能够为潜地导弹作战辅助决策、反导防御的快速实施提供技术支撑。
In view of the problem of large calculation amounts in the traditional calculation method of submarine-launched ballistic missile target control.First,the influence of earth rotation and earth oblateness on the actual range of submarine-launched ballistic missile is analyzed.Then,through the selection of input and output variables,the preprocessing of input and output data and the design of training set,the fast calculation model of submarine-launched ballistic missile target control is established based on back propagation neural network.The simulated results show that the fast calculation model of submarine-launched ballistic missile target control has high calculation accuracy and fast calculation speed.The fast calculation model can provide technical support for the aid assistant decision-making of military operation of submarine-launched balistic and the rapid implementation of the anti-missile defense.
作者
田春军
李红伟
TIAN Chun-jun;LI Hong-wei(Jiangsu Automation Research Institute, Lianyungang 222061, China)
出处
《指挥控制与仿真》
2021年第1期119-124,共6页
Command Control & Simulation
关键词
潜地导弹
快速计算
目标控制
BP神经网络
射程
submarine-launched ballistic missile
fast calculation
target control
back propagation neural network
range