Modified enhanced collaborative optimization method for artillery launching dynamic model with sequential process

炮兵部队 射弹 枪口 初速 过程(计算) 模拟 工程类 计算机科学 航空航天工程 机械工程 木桶(钟表) 人工智能 物理 量子力学 操作系统
作者
Jipeng Xie,Guolai Yang,Quanzhao Sun
出处
期刊:Journal of Low Frequency Noise Vibration and Active Control [SAGE Publishing]
卷期号:42 (2): 654-672 被引量:3
标识
DOI:10.1177/14613484221114883
摘要

The artillery launch system directly influences the muzzle energy and launching accuracy, and therefore it is important to optimize the artillery launch system’s complete process to improve the launch performance. As the objective function of the artillery launch system is non-smooth with coupling parameters in sequential processes, conventional optimization methods are hard to converge for the muti-sequential process of the interaction between the projectile and the barrel. This paper develops a coupled dynamic model for artillery launching, which can predict the performance of the engraving process of the rotating band and the projectile motion in the barrel. The independent optimization problem of the artillery launch system is divided into two subspace problems, and a modified enhanced collaborative optimization (MECO) method with global search capability is proposed, in which the distance criterion and penalty design boundary method are implemented. Results show that the MECO is dedicated not only to satisfying compatibility between coupling parameters of the two sequential processes effectively but also to improving the projectile axial speed at the muzzle and launching accuracy. The MECO maintains a much stable level of convergence than the ECO when the original optimization problem is multimodal.
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