基于虚拟样机的前冲射击平台后坐力优化研究

Research on Recoil Optimization of Front-Shooting Platform Based on Virtual Prototype

为进一步减小武器发射时对前冲射击平台的影响,满足小型无人平台挂载武器的需要,对前冲射击平台的参数进行了研究.建立射击平台的原理模型,并分析了其关键参数.以某型步枪为研究对象,采用虚拟样机技术,建立步枪虚拟样机模型并验证了其可信性,在此基础上建立了前冲射击平台的虚拟样机.以前冲簧力极值最小为目标建立了优化模型,应用Isight平台集成Adams软件的方式,采用多岛遗传算法对射击平台的相关参数进行了优化,对所得到的最优解进行了仿真分析.结果表明,优化后的前冲簧力极值降低了31.7%;通过射击试验验证了仿真结果的可信性,证明优化方案有效的提高了步枪射击稳定性和射击平台的射击效果.

In order to further reduce the impact of the launching of the weapon on the front-shooting platform and meet the needs of the small unmanned platform to mount the weapon,the parameters of the front - shooting platform were studied. The principle model of the shooting platform was established and its key parameters were analyzed. Taking a certain type of rifle as the research object,the virtual prototype technology is used to establish the virtual prototype model of the rifle and verifying its credibility,on this basis,the virtual prototype of the front - shooting platform is established. Taking the minimum value of the previous spring force as the objective,an optimization model is established. The Isight platform is used to integrate the Adams software. The multi - island genetic algorithm is used to optimize the parameters of the shooting platform. The optimal solution is simulated and analyzed. The results show that the extreme value of force for optimized front spring is reduced by 31.7%. The reliability of the simulation results is verified by the shooting test. It is proved that the optimization scheme effectively improves the shooting stability of the rifle and the shooting effect of the shooting platform.