南京理工大学学报（自然科学版）2025，Vol.49Issue(6)：723-731,9.DOI:10.14177/j.cnki.32-1397n.2025.49.06.010
某轮式突击炮射击稳定性多目标优化
Multi-objective optimization of shooting stability of a wheeled assault gun
Wang Shuteng 1Ge Jianli 1Deng Yuanbo 1Liu Guozhi 2Yang Guolai1
作者信息
- 1. School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
- 2. Shanxi North Machine-Building Co.,Ltd.,Taiyuan 030009,China
- 折叠
摘要
Abstract
In order to improve the shooting stability of the wheeled assault gun,a multi-target optimisation method for the shooting stability of a wheeled assault guns is proposed.Using the method of joint simulation of dynamic software and mathematical software,the structural parameters of the chassis are optimized and designed based on a genetic algorithm.A virtual prototype model of the wheeled assault gun is developed and experimentally verified.Through optimal Latin hypercube test design,a back propagation(BP)neural network proxy model and multi-objective optimization model of the wheeled assault gun vehicle are established.The BP neural network and non-dominated sorted genetic algorithm-Ⅱ(NSGA-Ⅱ)are used to optimize the longitudinal runout displacement of the chassis and the elevation angle displacement of the vehicle body under shooting.After optimization,the maximum longitudinal runout displacement of the front point of the vehicle body is reduced by 8.40%,and the maximum elevation angle displacement is reduced by 15.81%.The optimization effect is remarkable,which proves that the optimization method has certain reference value for improving the shooting stability of wheeled assault guns.关键词
射击稳定性/动力学建模/遗传算法/多目标优化/反向传播神经网络算法Key words
shooting stability/dynamic modeling/genetic algorithm/multi-objective optimization/back propagation neural network algorithm分类
军事科技引用本文复制引用
Wang Shuteng,Ge Jianli,Deng Yuanbo,Liu Guozhi,Yang Guolai..某轮式突击炮射击稳定性多目标优化[J].南京理工大学学报（自然科学版）,2025,49(6):723-731,9.
