基于遗传算法的火炮反后坐装置结构多目标优化研究

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。

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

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 system 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 resistance 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 design of overall structure and recoil mechanism.