基于自适应遗传算法的飞行器气动参数辨识

摘要

为了克服传统辨识算法的缺点,把自适应遗传算法作为辨识算法,进行飞行器的非线性气动参数的最大似然仿真辨识.在仿真辨识中,加入了零均值高斯分布的随机观测噪声.辨识结果比较满意,表明自适应遗传算法具有良好的优化性能,是进行气动参数辨识的一种实用的辨识算法.%To overcome the disadvantages of conventional identification algorithms,nonlinear aerodynamic parameter identification of flight vehicles using maximum likelihood method,based on simulation data,is carried out,where adaptive genetic algorithm is taken as identification algorithm.During the course of identification,zero-mean-value random measure noises with Guassian distribution are introduced.The results of identification are rather satisfactory,which shows that adaptive genetic algorithm has excellent performance of optimization and may be taken as a practical identification algorithm for aerodynamic parameter identification.