基于鲸鱼算法的内弹道性能优化

Interior Ballistic Performance Optimization Based on Whale Algorithm

针对某航炮对最大炮口初速越来越高的要求,以提高最大炮口初速为优化设计目标,对弧厚和发射药药量进行优化设计。选用具有操作简单、跳出局部最优的能力强等优点的鲸鱼算法,将鲸鱼算法与该炮内弹道数学模型相结合,对内弹道性能进行优化。结果表明:该方法优化效果较好,最大炮口初速得到了有效提升,所采用的鲸鱼算法与内弹道相结合是可行的,为后续其他类型火炮内弹道设计提供了一定参考。

Aiming at the increasing requirement of the maximum muzzle velocity of an aircraft gun,the arc thickness and propellant quantity were optimized to improve the maximum muzzle velocity.Whale algorithm,which has the advantages of simple operation and strong ability to jump out of local optimum,is selected to optimize the interior ballistic performance by combining the whale algorithm with the interior ballistic mathematical model of the gun.The results show that the optimization effect of this method is good,the maximum muzzle velocity has been effectively improved,and the combination of the whale algorithm and interior ballistics is feasible,which provides a certain reference for the interior ballistic design of other types of guns.