一种基于随机优化算法的民用飞机突风动载荷重建方法

民用飞机突风载荷的准确重建对于飞行安全具有十分重要的意义。基于随机优化算法，提出一种突风动载荷重建方法。首先，基于频域气弹耦合方程，建立一个突风动载荷时域分析模型，其次，引入Hicks-Henne 型函数进行突风速度场的参数化建模，在此基础上，基于随机优化算法对各型函数参数进行迭代寻优，使得优化目标值与测量值一致，最终得到重建后的突风速度及对应的动态响应及载荷。最后，以GTA 模型经历1-cos 形状突风为例进行数值仿真。结果表明：本文提出的突风动载荷重建方法可有效实现突风速度场的识别，进而完成突风动载荷的重建；针对本文算例，过载最大误差为3.5%，载荷最大误差不超过1%。

A Reconstruction Method of Civil Aircraft Dynamic Gust Load Based on the Stochastic Optimization Algorithm

The accurate reconstruction of civil aircraft gust load is of great significance to flight safety.A reconstruction method of dynamic gust load is studied based on the stochastic optimization algorithm. Firstly, based on the aero-elastic coupling equation in the frequency-domain, a time-domain analysis model of the dynamic gust load is established. Secondly, the profile of the gust field is parameterized by Hicks-Henne bump functions. In order to match the measured target values, the parameters of each bump function are optimized based on the stochastic optimization algorithm. Then, the reconstructed profile of the gust field is obtained, as well as the time history of the corresponding dynamic responses and loads. Finally, numerical simulations of the Generic Transport Aircraft (GTA) model experienced the 1-cos shape gust is carried out. The results show that the method established in this paper can be used to recognize the profile of the gust field, and reconstruct the gust dynamic loads. In the numerical examples, the maximum load factor error is 3.5%, and the maximum load error is smaller than 1%.