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基于遗传算法的导弹弹射内弹道参数优化数值仿真

陈亚军 储岳中 张学锋

重庆理工大学学报(自然科学版)2017,Vol.31Issue(4):127-133,7.
重庆理工大学学报(自然科学版)2017,Vol.31Issue(4):127-133,7.DOI:10.3969/j.issn.1674-8425(z).2017.04.021

基于遗传算法的导弹弹射内弹道参数优化数值仿真

Parameter Optimization and Numerical Simulation on Missile Interior Ballistic of Ejecting Device Based on Genetic Algorithms

陈亚军 1储岳中 1张学锋1

作者信息

  • 1. 安徽工业大学 计算机科学与技术学院, 安徽 马鞍山 243002
  • 折叠

摘要

Abstract

In order to study the effect of the powder burning, material flow and energy conversion, we need to establish the mathematical model of the interior ballistic trajectory for numerical simulation, and the correction of interior ballistic model parameters is an important part of the interior ballistic model.In this paper, genetic algorithm was used to establish a method to calculate the parameters of interior ballistic model, and the optimization calculation of the five parameters was completed.The optimization objective was the theoretical calculated value and the experimental results were worth to be in agreement with the experimental results.The experimental results show that the optimized parameters can effectively improve the accuracy of the mathematical model of the interior ballistic trajectory, and verify the feasibility and effectiveness of the application of genetic algorithm to the parameter optimization of the missile.It provides a theoretical basis for the accurate simulation of the missile ejection process and the accurate calculation of the missile flight trajectory.

关键词

弹射内弹道/寻优/遗传算法/数值仿真

Key words

interior ballistic trajectory/optimization/genetic algorithm/numerical simulation

分类

信息技术与安全科学

引用本文复制引用

陈亚军,储岳中,张学锋..基于遗传算法的导弹弹射内弹道参数优化数值仿真[J].重庆理工大学学报(自然科学版),2017,31(4):127-133,7.

基金项目

安徽省高校自然科学基金资助项目(KJ2016A085) (KJ2016A085)

重庆理工大学学报(自然科学版)

OA北大核心CSTPCD

1674-8425

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