弹道学报2017，Vol.29Issue(3)：87-91,5.
不同优化算法在轮式自行火炮动力学优化中的应用
Study on Different Optimization Algorithms for Optimization Design of Wheeled Self-propelled Gun Firing Dynamics
摘要
Abstract
To reduce the initial muzzle disturbance and increase the shooting accuracy of wheeled self-propelled gun,an optimization model was built based on the firing dynamics model of self-propelled gun. The muzzle angular-displacement and angular-velocity were normalized to a single target by weighted method. The model was optimized respectively by NLPQL,PSO,ASA and MIGA. The simulation results show that ASA and MIGA can meet the demand of the optimization problem of the wheeled self-propelled gun system. Although the convergence speed is quicker,the optimization result of PSO is not as good as that of ASA and MIGA. Because it is easy to fall into local optimum,NLPQL cannot adapt to the demand of the optimization problem of wheeled self-propelled gun system.关键词
轮式自行火炮/发射动力学/动力学优化/总体参数优化Key words
wheeled self-propelled gun/firing dynamics/dynamics optimization/conceptual parameters optimization分类
军事科技引用本文复制引用
曹岩枫,牛福强,洪亚军,徐诚..不同优化算法在轮式自行火炮动力学优化中的应用[J].弹道学报,2017,29(3):87-91,5.基金项目
国家自然科学基金项目(51575279) （51575279）
