基于NSGA-Ⅱ算法的燃气弹射内弹道参数优化建模  

Optimization Modeling of Gas Catapult Interior Ballistic Parameters Based on NSGA-Ⅱ Algorithm

作　　者：贾轩 吴一帆 段浩 杨弓熠 JIA Xuan;WU Yi-fan;DUAN Hao;YANG Gong-yi(Kunming Branch of the 705 Research Institute,China State Shipbuilding Corporation Limited,Kunming 650032,China)

机构地区：[1]中国船舶集团有限公司第705研究所昆明分部,云南昆明650032

出　　处：《水下无人系统学报》2022年第2期216-222,共7页Journal of Unmanned Undersea Systems

摘　　要：在经典弹射内弹道理论的基础上,采用数值分析的方法对内弹道数学模型进行求解,评估不同的内弹道参数对于内弹道性能的影响,最终选择以燃速系数、燃速压强指数、虚拟质量系数和散热修正系数为优化变量,以理论值和实验值的吻合程度为优化目标,应用NSGA-Ⅱ算法对内弹道参数进行优化,得到了各优化变量的Pareto最优解集,并采用最优折中解决策选择了合理的最优解。优化设计结果表明:参数优化后内弹道的理论计算值与实验值吻合更好,最大膛压和出管速度的理论计算值与实验值之间的误差更小。文中所用的优化方法能够有效提高内弹道数学模型的计算精度,对于内弹道优化设计具有一定的指导意义。Based on the classical catapult interior ballistic theory, a numerical analysis method was applied to solve the interior ballistic mathematical model and evaluate the effect of different interior ballistic parameters on the interior ballistic performance. The burning rate coefficient, burning rate pressure exponent, virtual quality coefficient, and thermal correction coefficient were used as optimization variables, and the consistency between the theoretical and experimental values was used as the optimization objective. The NSGA-Ⅱ algorithm was used to optimize the interior trajectory parameters, the Pareto optimal solution of each optimization variable was obtained, and the optimal compromise solution was used to select a reasonable optimal solution. The optimization design results demonstrated that the theoretical calculations of the interior ballistics were in agreement with the experimental values, and the differences between the theoretical and experimental values of the maximum bore pressure and outlet velocity were smaller. The optimization method used in this study can effectively improve the calculation accuracy of the interior ballistic mathematical model and is of significance to interior ballistic optimization design.

关 键 词：燃气弹射 内弹道 NSGA-Ⅱ算法 最优折中解 

分 类 号：TJ630.2[兵器科学与技术—武器系统与运用工程]