基于蚁群算法的弹道参数辨识方法研究

通过传统的计算方法难以得到航空武器系统弹道参数,为此提出一种基于蚁群算法的航空武器气动参数辨识算法。该算法将蚁群算法和实数编码遗传算法相结合,以给定的弹道表数据为标准,采用蚁群算法计算航空武器气动参数分段函数的分段边界点马赫数值,在此基础上采用实数编码遗传算法计算分段函数的多项式系数。采用该算法进行某型炸弹阻力系数辨识计算,计算结果表明:该算法可行,且计算的阻力系数精度高。计算结果已成功应用于某型航电火控系统的设计中。

On ballistic parameter identification method based on ant colony algorithm

The ballistic parameters of airborne weapons are necessary to weapon simulation and the design of fire control system,which are difficult to obtain through traditional methods.A method based on ant colony algorithm is presented here for identifying the aerodynamic parameters of airborne weapons.Combined ant colony algorithm with real-number coded genetic algorithm,the algorithm takes the given ballistic data as the standard.Ant colony algorithm is used to calculate the Mach Numbers of sectionlized boundary points of the sectional function of the airborne weapons' aerodynamic parameters.Then real-number coded genetic algorithm is used for calculating the multinomial coefficient of the sectional function.The algorithm was used in identification of drag coefficient of a certain type of bomb,and the calculation result showed that this method is flexible and has a high calculating accuracy,which has been applied in design of one fire control system.