粒子群算法的弹道参数辨识方法

Research on the Weapon Parameter Identification based on Particle Swarm Algorithms

提出一种基于粒子群算法的航空武器气动参数辨识算法,该算法采用粒子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。

The aircraft＇s weapon parameter is necessary to weapon simulation and designing of fire control system. But it can not be obtained by traditional methods. A parameter identification method of aircraft＇s weapon is presented in this paper, which is based on the particle swarm algorithm. In the full paper, this method is explained in detail. The brief explanation is presented in this abstract. In section 2, the model of one aircraft＇s weapon parameter is introduced. In section 3, the parameter identification method of aircraft＇s weapon is explained in detail, which is implemented by 10 steps. In section 4, one application is presented. The application result shows this method is flexible and validity, which has been applied to designation of one fire control system.