弹道学报2016，Vol.28Issue(4)：1-6,6.
基于遗传-最大似然方法高速旋转弹丸阻力系数辨识
Drag Coefficient Identification of Spinning Projectile Using GA-MSE
摘要
Abstract
In order to improve the accuracy of high-speed spinning projectile and to supply more precise base data for compiling firing tables and designing control systems for guided projectile, the analysis of identifiability for aerodynamic parameters in theory was carried out. Based on Genetic Algorithm-Maximum Likelihood Estimation ( GA-MSE ) , the drag coefficients of spinning projectile were identified by using radar data of velocity. The accuracy and reliability of GA-MSE were validated by using simulated data. The actual data was processed by using GA-MSE, and a satisfied result was obtained. The result of simulation experiment data and actual experiment data were analyzed. The result shows that GA-MSE has high precision for parameter identification.关键词
旋转弹丸/气动参数辨识/遗传算法/最大似然估计Key words
spinning projectile/aerodynamic-parameter identification/genetic algorithm/maximum likelihood estimation分类
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管军,易文俊,刘海,常思江,史继刚,刘世平..基于遗传-最大似然方法高速旋转弹丸阻力系数辨识[J].弹道学报,2016,28(4):1-6,6.基金项目
国家自然科学基金项目(11472136,11402117) （11472136,11402117）
