导弹气动力参数辨识中的一种鲁棒算法

A Robust Algorithm for Aerodynamic Parameter Identification of Missile

传统的气动力参数辨识算法存在着一些问题 ,使辨识的准确性和可靠性受到较大的影响。为解决传统算法所存在的问题 ,以最大似然准则作为辨识准则 ,应用自适应遗传算法进行导弹的非线性气动力参数仿真辨识。气动力参数辨识的结果比较满意 ,表明遗传算法具有良好的优化性能 ,是进行气动力参数辨识的一种鲁棒算法。

The conventional algorithms for aerodynamic parameter identification have some drawbacks, so accuracy and reliability of identification may be greatly affected. To overcome the disadvantages, maximum likelihood criterion is taken as identification criterion, and nonlinear aerodynamic parameter identification based on simulation data is carried out using self-adaptive genetic algorithm. The results of aerodynamic parameter identification are satisfactory, which shows that genetic algorithm has perfect performance on optimization and is a robust algorithm applied in aerodynamic parameter identification.