基于WOA-Elman快速推测火炮射击高空风参数研究  

Study on rapid speculation of high-altitude wind parameters of artillery firing based on WOA-Elman

作　　者：陈霖 李岩[1] 景银华 CHEN Lin;LI Yan;JING Yinhua(School of Energy and Power Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学能源与动力工程学院,南京210094

出　　处：《兵器装备工程学报》2023年第6期108-113,共6页Journal of Ordnance Equipment Engineering

摘　　要：为了缩短高空气象数据获取时间,提高战时火炮射击时弹道诸元解算速度和精度,利用地表气象数据推测高空气象数据是目前重点研究方向之一,采用鲸鱼优化算法(WOA)优化Elman神经网络法的权值,对高空气象风按照气压层进行递推,以获得更好的推测精度。通过气象误差标准分析和基于实验实测弹道数据的仿真分析2种方法,对所获高空气象数据精度进行评估分析,分析结果表明利用WOA-Elman神经网络法可快速有效地对高空气象进行递推预测。To shorten the time to obtain high-altitude meteorological data and improve the speed and accuracy of the calculation of ballistic elements in wartime artillery firing,it is one of the key research directions to predict high-altitude meteorological data by using the surface meteorological data.This paper uses whale optimization algorithm(WOA)to optimize the weights of Elman neural network method,and recurses the upper meteorological wind according to the barometric layer so as to obtain better accuracy of speculation.The accuracy of the obtained high-altitude meteorological data is evaluated and analyzed by two methods,including meteorological error standard analysis and simulation analysis based on the trajectory data measured by the experiments.The analysis results show that the WOA-Elman neural network method can be used to recursively forecast high-altitude meteorology quickly and effectively.

关 键 词：鲸鱼优化算法 ELMAN神经网络 气象风 误差分析 弹道计算 

分 类 号：TJ012.3[兵器科学与技术—兵器发射理论与技术]