基于遗传-最大似然方法高速旋转弹丸阻力系数辨识

为了进一步提高高速旋转弹丸气动参数辨识技术的精度,为射表编制、弹箭飞行控制技术等提供更加可靠的基础数据,对参数的可辨识性问题进行了理论上的定量分析,利用遗传-最大似然方法,通过弹丸空中自由飞行的速度数据对零升阻力系数进行了辨识。通过仿真实验对算法的精确性和可靠性进行了充分的验证。用该算法对实际飞行数据进行了处理,得到了较为精确的弹丸零阻系数,并应用于工程实际问题,分析了仿真实验和实际实验的数据。结果表明,该算法具有较高的数据辨识精度并能有效地解决实际工程问题。

Drag Coefficient Identification of Spinning Projectile Using GA-MSE

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.