[1]徐凤杰,杨国来,王丽群.基于随机规划的火炮膛内发射性能不确定性优化[J].弹道学报,2019,(01):1.[doi:10.12115/j.issn.1004-499X(2019)01-001]
 XU Fengjie,YANG Guolai,WANG Liqun.Uncertain Optimization of In-bore Launching Performance ofArtillery Based on Stochastic Programming[J].Journal Of Ballistics,2019,(01):1.[doi:10.12115/j.issn.1004-499X(2019)01-001]
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基于随机规划的火炮膛内发射性能不确定性优化()
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《弹道学报》[ISSN:1004-499x/CN:32-1343/TJ]

卷:
期数:
2019年01期
页码:
1
栏目:
出版日期:
2019-03-30

文章信息/Info

Title:
Uncertain Optimization of In-bore Launching Performance ofArtillery Based on Stochastic Programming
文章编号:
1004-499X(2019)01-0001-06
作者:
徐凤杰杨国来王丽群
南京理工大学 机械工程学院,江苏 南京 210094
Author(s):
XU FengjieYANG GuolaiWANG Liqun
School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
关键词:
大口径火炮 不确定性优化 弹丸起始扰动 随机规划
Keywords:
large-caliber artillery uncertain optimization projectile initial disturbance stochastic programming
分类号:
TJ303
DOI:
10.12115/j.issn.1004-499X(2019)01-001
文献标志码:
A
摘要:
为了研究大口径火炮膛内发射性能的不确定性优化问题,编制了内弹道程序并嵌入ABAQUS有限元软件进行二次开发,构建了膛内发射动力学模型。综合考虑火炮内膛结构参数、弹丸结构参数与发射装药参数等不确定性因素,通过分布参数模拟其随机特性,利用BP神经网络建立了膛内发射动力学模型的代理模型。基于蒙特卡洛模拟得到不确定约束函数的概率分布,以内弹道性能指标构建概率约束函数,以起始扰动的均值与标准差构建不确定目标函数,建立膛内发射性能的随机不确定性优化模型。运用多目标遗传算法进行优化求解,获得了该问题的最优解与不确定参数的合理区间,证明了该方法的有效性。
Abstract:
In order to study the uncertainty optimization of the launching performance of large-caliber artillery,the internal ballistic program was compiled and embedded in ABAQUS finite element software for secondary development,and the dynamic model of in-bore launching was built. The uncertainties of the internal structure parameters of artillery,the parameters of projectile and the parameters of launching charge were completely considered,and the random characteristics were simulated through the distribution parameters. The BP neural network was used to construct the surrogate model of the in-bore launching dynamic model. Based on the Monte-Carlo simulation,the probability distribution of the uncertain constrained function was obtained,and the probability constraint function was constructed by the internal ballistic performance index. The uncertain objective function was constructed by the mean and standard deviation of initial disturbance,and the stochastic uncertainty optimization model of the launch performance was established. The multi-objective genetic algorithm was used to solve the optimization problem. The reasonable interval of the optimal solution and the uncertain parameters of the problem was obtained. The proposed method is effective.

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相似文献/References:

[1]季晓松,王浩,冯国增,等.高炮口动能大口径火炮中多点点火技术试验研究[J].弹道学报,2010,(04):67.
 JI Xiao song,WANG Hao,FENG Guo zeng,et al.Experimental Research on Technology of Multipoint Ignition in Large Caliber Gun With High Muzzle Energy[J].Journal Of Ballistics,2010,(01):67.

备注/Memo

备注/Memo:
收稿日期:2018-08-06
基金项目:国家自然科学基金项目(11572158); 国家“十三五”国防重点预研项目(301070603)
作者简介:徐凤杰(1994- ),男,博士研究生,研究方向为不确定性优化。E-mail:xufengjie@njust.edu.cn。
通信作者:杨国来(1968- ),男,教授,博士生导师,博士,研究方向为火炮现代设计理论与方法。E-mail:yyanggl@mail.njust.edu.cn。
更新日期/Last Update: 2019-03-10