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基于改进差分进化算法的内弹道参数优化
引用本文:张泽峰,傅建平,曹营修,朱建杰.基于改进差分进化算法的内弹道参数优化[J].火力与指挥控制,2017,42(7).
作者姓名:张泽峰  傅建平  曹营修  朱建杰
作者单位:军械工程学院,石家庄,050003
摘    要:火炮内弹道参数直接影响其计算结果,内弹道参数优化设计是内弹道分析计算的重要环节。基于经典内弹道计算模型,以火药内弹道计算中最为敏感的燃速指数及其燃速系数为设计参量,以最大膛压及弹丸初速的计算值与测试值一致性为目标,对差分进化算法群体的初始化、变异因子及变异模式进行了改进,对某型火炮的内弹道参数进行了优化计算。优化设计结果表明改进后的差分进化算法满足内弹道设计工程实践要求,为内弹道参数优化设计提供了一种有效的算法。

关 键 词:内弹道  多参数  差分进化  群体规模  变异因子  变异模式

Interior Ballistic Parameter Optimization Based on Improved Differential Evolution Algorithm
ZHANG Ze-feng,FU Jian-ping,CAO Ying-xiu,ZHU Jian-jie.Interior Ballistic Parameter Optimization Based on Improved Differential Evolution Algorithm[J].Fire Control & Command Control,2017,42(7).
Authors:ZHANG Ze-feng  FU Jian-ping  CAO Ying-xiu  ZHU Jian-jie
Abstract:The ballistic parameters directly affect the calculation results, interior ballistic parameter optimization design is an important part of interior ballistic analysis and calculation. In this paper,based on the classical interior ballistics calculation model,the most sensitive burning rate exponent and its burning rate as the design parameters,in order to get the calculation of the maximum chamber pressure and the muzzle velocity values to be consistent with test value,the initialization of differential evolution algorithm,the variation factor and the model of mutation are improved and the interior ballistic parameters of a certain type of gun are optimized and calculated. The optimization results show that the improved differential evolution algorithm meets the engineering practice requirements of interior ballistic design and provides an efficient algorithm for the optimal design of interior ballistic parameters.
Keywords:interior ballistic  multi parameter  differential evolution  group size  variation factor  variation pattern
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