基于多种群遗传算法的战术导弹气动力参数辨识

Estimating Aerodynamic Parameters of Tactical Missiles Based on Lots of Genetic Algorithms

传统的基于牛顿-拉夫逊迭代算法和递推极大似然法的战术导弹气动力参数辨识缺点是对初值比较敏感,其求解结果趋向于局部最优解和计算比较复杂。遗传算法具有较好的全局寻优特性,简单易行,是值得大力推广应用的一种新的有效算法。

The disadvantage of identification of missile＇ s aerodynamic parameters based on the traditional maximum likelihood identification method and Newton-Raphson method and recursive maximum likelihood method is being sensitive to the initial value. The result drifts towards locally optimal solution and the complicated calculation. Genetic algorithms is a new efficient algorithm which should be generalized and applied, because it has the characteristics of optimizing all over and is easy to be applied.