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| 基于遗传神经网络的反跑道子弹药落点散布研究 | |
| 引用本文： | 单永志,尹健,许河川,吴艳滨,由云丽.基于遗传神经网络的反跑道子弹药落点散布研究[J].弹道学报,2012,24(2):55-57,78. |
| 作者姓名： | 单永志 尹健 许河川 吴艳滨 由云丽 |
| 作者单位： | 1. 北京理工大学机电工程学院,北京100081 哈尔滨建成集团有限公司,哈尔滨150030 2. 空军装备研究院总体所,北京,100085 3. 哈尔滨建成集团有限公司,哈尔滨,150030 4. 驻624厂军代室,哈尔滨,150030 |
| 摘 要： | 为研究布撒器反跑道子弹药时序落点散布,并实现对子弹药时序落点的精确预估,分析了子弹药的运动模型以及飞行时序,影响子弹药落点的因素主要有投放初始条件、机构误差和风干扰.采用了神经网络与遗传算法相结合的方法,建立了落点散布的预估模型和仿真程序.仿真结果表明,该方法能够有效地描述反跑道子弹药时序落点散布,同时可以进行精确预估计算,可为布撒器的总体设计提供重要技术手段. |
| 关 键 词： | 反跑道子弹药 布撒器 神经网络 遗传算法 落点散布 预估 |
Study on Distribution of Anti-runway Submunition Based on Artificial Neural Network |
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| SHAN Yong-zhi,YIN Jian,XU He-chuan,WU Yan-bin,YOU Yun-li.Study on Distribution of Anti-runway Submunition Based on Artificial Neural Network[J].Journal of Ballistics,2012,24(2):55-57,78. | |
| Authors: | SHAN Yong-zhi YIN Jian XU He-chuan WU Yan-bin YOU Yun-li |
| Affiliation: | 1.School of Mechatronic Engineering,BIT,Beijing 100081,China;2.Harbin Jiancheng Group,Harbin 150030,China; 3.Research Institute on General Development and Argumentation of Equipment of Air Force,Beijing 100076,China; 4.Military Representative Office in 624 Factory,Harbin 150030,China) |
| Abstract: | To study time-sequence impact point dispersion of anti-runway submunitions(ARSM),and to precisely estimate impact point,the motion model and flight time-sequence of ARSM were analyzed.The main factors affecting impact point are initial condition,mechanism error and wind disturbance.The method of combining neural networks and genetic algorithms was designed.The estimating models of impact point dispersion of submunition were established,and the simulation procedure was designed.The simulation results show that the method can effectively describe time-sequence impact point dispersion of ARSM,and accurate pre-estimation can be carried out by this method.The method offers important technical means for the overall design of dispenser. |
| Keywords: | anti-runway submunition disperser neural network genetic algorithm distribution ofimpact point estimation |
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