防务技术2024,Vol.33Issue(3) :506-517.DOI:10.1016/j.dt.2023.10.005

Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse

Chen Liang Qiang Shen Zilong Deng Hongyun Li Wenyang Pu Lingyun Tian Ziyang Lin
防务技术2024,Vol.33Issue(3) :506-517.DOI:10.1016/j.dt.2023.10.005

Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse

Chen Liang 1Qiang Shen 1Zilong Deng 1Hongyun Li 1Wenyang Pu 1Lingyun Tian 1Ziyang Lin1
扫码查看

作者信息

  • 1. School of Mechatronical Engineering,Beijing Institute of Technology,Beijing 100081,China
  • 折叠

Abstract

The longitudinal dispersion of the projectile in shooting tests of two-dimensional trajectory corrections fused with fixed canards is extremely large that it sometimes exceeds the correction ability of the correction fuse actuator.The impact point easily deviates from the target,and thus the correction result cannot be readily evaluated.However,the cost of shooting tests is considerably high to conduct many tests for data collection.To address this issue,this study proposes an aiming method for shooting tests based on small sample size.The proposed method uses the Bootstrap method to expand the test data;repeatedly iterates and corrects the position of the simulated theoretical impact points through an improved compatibility test method;and dynamically adjusts the weight of the prior distribution of simulation results based on Kullback-Leibler divergence,which to some extent avoids the real data being"submerged"by the simulation data and achieves the fusion Bayesian estimation of the dispersion center.The experimental results show that when the simulation accuracy is sufficiently high,the pro-posed method yields a smaller mean-square deviation in estimating the dispersion center and higher shooting accuracy than those of the three comparison methods,which is more conducive to reflecting the effect of the control algorithm and facilitating test personnel to iterate their proposed structures and algorithms.;in addition,this study provides a knowledge base for further comprehensive studies in the future.

Key words

Two-dimensional trajectory correction fuse/Small sample size test/Compatibility test/KL divergence/Fusion bayesian estimation

引用本文复制引用

基金项目

National Natural Science Foundation of China(61973033)

Preliminary Research of Equipment(9090102010305)

出版年

2024
防务技术
中国兵工学会

防务技术

CSTPCD
影响因子:0.358
ISSN:2214-9147
参考文献量27
段落导航相关论文