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

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 corre...

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Main Authors: Chen Liang, Qiang Shen, Zilong Deng, Hongyun Li, Wenyang Pu, Lingyun Tian, Ziyang Lin
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-03-01
Series:Defence Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914723002763
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author Chen Liang
Qiang Shen
Zilong Deng
Hongyun Li
Wenyang Pu
Lingyun Tian
Ziyang Lin
author_facet Chen Liang
Qiang Shen
Zilong Deng
Hongyun Li
Wenyang Pu
Lingyun Tian
Ziyang Lin
author_sort Chen Liang
collection DOAJ
description 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 proposed 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.
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spelling doaj.art-1dff67874a11427ba3f18f7a1e67bc532024-03-28T06:38:01ZengKeAi Communications Co., Ltd.Defence Technology2214-91472024-03-0133506517Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuseChen Liang0Qiang Shen1Zilong Deng2Hongyun Li3Wenyang Pu4Lingyun Tian5Ziyang Lin6School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaCorresponding author.; School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaThe 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 proposed 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.http://www.sciencedirect.com/science/article/pii/S2214914723002763Two-dimensional trajectory correction fuseSmall sample size testCompatibility testKL divergenceFusion bayesian estimation
spellingShingle Chen Liang
Qiang Shen
Zilong Deng
Hongyun Li
Wenyang Pu
Lingyun Tian
Ziyang Lin
Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse
Defence Technology
Two-dimensional trajectory correction fuse
Small sample size test
Compatibility test
KL divergence
Fusion bayesian estimation
title Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse
title_full Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse
title_fullStr Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse
title_full_unstemmed Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse
title_short Research on aiming methods for small sample size shooting tests of two-dimensional trajectory correction fuse
title_sort research on aiming methods for small sample size shooting tests of two dimensional trajectory correction fuse
topic Two-dimensional trajectory correction fuse
Small sample size test
Compatibility test
KL divergence
Fusion bayesian estimation
url http://www.sciencedirect.com/science/article/pii/S2214914723002763
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