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基于神经网络的弹道修正弹落点预测方法

2015-12-23曹红锦,常思江

兵器装备工程学报 2015年1期

【装备理论与装备技术】

基于神经网络的弹道修正弹落点预测方法

曹红锦1,常思江2

(1.中国兵器工业 第五九研究所,重庆400039; 2.南京理工大学 动力工程学院,南京210094)

摘要:为了分析神经网络运用于弹道预测的可行性,构建了实用的弹道预测工具,建立了基于神经网络理论的弹道预测模型。利用二自由度质点弹道模型,选取BP网络和Elman网络进行神经网络弹道预测仿真。基于误差反向传播理论,比较了带动量项算法与自适应学习率算法这2种网络权值训练速度。对2种网络不同隐层节点数的学习误差和预测误差进行了对比分析。数值仿真计算结果表明,神经网络具有较高的预测精度,36.7 km射程仅有不足100 m的射程误差,12.3 km射高仅有不足70 m的高度误差,预测结果满足要求,利用神经网络进行弹道预测是合理可行的。

关键词:弹道预测;神经网络;误差反传;数值仿真

收稿日期:2014-08-12

作者简介:曹红锦(1977—),女,高级工程师,主要从事科技情报研究。

doi:10.11809/scbgxb2015.01.005

中图分类号:TJ303.4

文章编号:1006-0707(2015)01-0017-05

本文引用格式:曹红锦,常思江.基于神经网络的弹道修正弹落点预测方法[J].四川兵工学报,2015(1):17-20.

Citationformat:CAOHong-jin,CHANGSi-jiang.StudyonProjectilesImpactPointPredictionMethodforTrajectoryCorrectionBasedonNeuralNetwork[J].JournalofSichuanOrdnance,2015(1):17-20.

StudyonProjectilesImpactPointPredictionMethodfor

TrajectoryCorrectionBasedonNeuralNetwork

CAOHong-jin1, CHANG Si-jiang2

(1.No. 59InstituteofChinaOrdnanceIndustries,Chongqing400039,China;

2.SchoolofEnergyandPowerEngineering,NanjingUniversityofScienceandTechnology,Nanjing210094,China)

Abstract:In order to discuss the feasibility of neural network uses for trajectory prediction, and to create a practical prediction trajectory tool, we built a trajectory predictive model based on neural network. It used two degrees of freedom particle trajectory model to do neural network trajectory prediction simulation by selected BP network and Elman network. Based error back propagation theory, it compared two types of weight training velocities from momentum back propagation and adaptive learning rate back propagation in the network structures, and the comparative analysis of the learning error and prediction error of the two networks in different amount of hidden nodes were discussed. Numerical results show that it is less than 100m range error of 36.7 km and less than 70 m height error of 12.3 km shot high. The neural network has high prediction accuracy, and its trajectory prediction results meet the requirements. The ballistic prediction using neural networks is reasonably practicable.

Keywords:ballisticprediction;neuralnetwork;errorbackpropagation;numericalsimulation

弹道修正弹就是在制式炮射弹药加装弹道修正模块以提高炮弹的射击精度。弹道探测技术、弹道解算技术、控制执行机构是弹道修正弹3大关键技术[1-3]。只有精确预测了落点,才能推算出修正执行机构动作时间、工作时长等重要信息,最终使弹丸命中目标。如果弹道预测不能很好完成,将严重影响弹道修正弹的射击精度。……

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