摘要
为了正确研究导弹弹射过程中火药燃烧、物质流动、能量转换以及导弹运动的规律,需要建立弹射内弹道数学模型并进行数值仿真求解,对内弹道模型参数的优化是建立内弹道模型的重要部分。应用遗传算法建立了一种内弹道模型参数优化的计算方法,完成了对5个待定参数的寻优计算。优化目标为理论计算值与实验值的吻合程度。实验结果表明:优化后的参数可以有效提高内弹道数学模型的精度和可预见性,从而验证了将遗传算法应用到内弹道参数优化中的可行性和有效性,为正确地仿真导弹弹射过程和精确计算导弹飞行轨迹提供了理论依据。
In order to study the effect of the powder burning, material flow and energy conversion, we need to establish the mathematical model of the interior ballistic trajectory for numerical simulation, and the correction of interior ballistic model parameters is an important part of the interior ballistic model. In this paper, genetic algorithm was used to establish a method to calculate the parameters of interior ballistic model, and the optimization calculation of the five parameters was completed. Theoptimization objective was the theoretical calculated value and the experimental results were worth to be in agreement with the experimental results. The experimental results show that the optimized parameters can effectively improve the accuracy of the mathematical model of the interior ballistic trajectory, and verify the feasibility and effectiveness of the application of genetic algorithm to the parameter optimization of the missile. It provides a theoretical basis for the accurate simulation of the missile ejection process and the accurate calculation of the missile flight trajectory.
出处
《重庆理工大学学报（自然科学）》
CAS
2017年第4期127-133,共7页
Journal of Chongqing University of Technology：Natural Science
基金
安徽省高校自然科学基金资助项目(KJ2016A085)
关键词
弹射内弹道
寻优
遗传算法
数值仿真
interior ballistic trajectory
optimization
genetic algorithm
numerical simulation
