基于遗传算法的火炮反后坐装置结构多目标优化研究  

Structural Multi-objective Optimization of Artillery Recoil Mechanism Based on Genetic Algorithm

作　　者：周乐[1] 杨国来[1] 葛建立[1] 王飞[1] 

机构地区：[1]南京理工大学机械工程学院,江苏南京210094

出　　处：《兵工学报》2015年第3期433-436,共4页Acta Armamentarii

基　　金：国家自然科技基金项目(11172139);国家"973"计划项目(51319702)

摘　　要：大口径火炮后坐阻力和炮口扰动是影响火炮射击精度的关键因素,为了减小后坐阻力峰值和炮口扰动,基于刚柔耦合动力学理论,建立了某型火炮刚柔耦合系统动力学模型。从反后坐装置结构和总体结构的角度出发,利用ADAMS底层开发模块,结合小生境遗传算法程序建立多目标优化函数,进行火炮反后坐装置结构多目标优化设计。优化后的后坐阻力峰值及炮口扰动明显降低,表明所提出的优化方法合理可行,为火炮总体结构和反后坐装置结构的优化设计提供一定的技术参考。Recoil resistance and muzzle disturbance are the key factors influencing the firing accuracy. In order to reduce maximum value of recoil resistance and muzzle disturbance, a rigid-flexible coupling sys- tem dynamics model is established for a large caliber gun. In the case of recoil mechanism and overall structure, the basic development module of ADAMS is used in conjunction with niche genetic algorithm to solve the multi-objective optimization function for gun recoil mechanism. Maximum value of recoil resist- i ance and muzzle disturbance can be effectively reduced through optimization. The result shows that the proposed optimization method is reasonable and feasible, and can provide reference for optimization de- sign of overall structure and recoil mechanism.

关 键 词：兵器科学与技术 反后坐装置 遗传算法 后坐阻力 炮口扰动 多目标优化 

分 类 号：TJ302[兵器科学与技术—火炮、自动武器与弹药工程]