摘要
在对高装填密度钝感发射药燃烧规律研究的基础上,运用现代优化设计方法,建立了基于遗传算法的内弹道多目标优化模型,对利用遗传算法求解内弹道优化问题中的约束处理方法和遗传搜索策略进行了研究.探讨和分析了钝感发射装药技术提高火炮初速的潜力,针对制约这种装药技术应用的点火困难问题,讨论了用电热化学发射技术实现该装药优化方案的可能性.研究表明,遗传算法是一种求解枪炮内弹道多目标优化问题的有效方法,可作为内弹道设计方案的优化工具.
The combustion characteristics of desensitized packed propellant were researched. By the modern optimization method, the multi-objective optimization model of interior ballistics of gun was built based on the genetic algorithm, and some key problems such as disposing method of constraints and genetic strategy, were investigated. The potential to improve the velocity by using this charge technology was analyzed. Aiming at the difficulty in ignition of desensitized packed propellant, the feasibility to use electro-thermal chemical technology to ignite the packed charge was discussed. The study results show that genetic algorithm is an effective method for multi-objective optimization problems of interior ballistic, and this method can be used in the design of interior ballistics of gun.
出处
《弹道学报》
CSCD
北大核心
2008年第3期29-32,共4页
Journal of Ballistics
关键词
内弹道
遗传算法
参量优化
interior ballistic
genetic algorithm
parameter optimization
作者简介
林庆华（1976-），男，工程师，硕士．研究方向为电磁发射技术．
