基于GRU的扑翼非定常气动特性快速预测  

Rapid prediction of unsteady aerodynamic characteristics of flapping wing based on GRU

作　　者：赵嘉墀 王天琪 曾丽芳 邵雪明[2] ZHAO Jia-chi;WANG Tian-qi;ZENG Li-fang;SHAO Xue-ming(Polytechnic Institute,Zhejiang University,Hangzhou 310058,China;School of Aeronautics and Astronautics,Zhejiang University,Hangzhou 310058,China)

机构地区：[1]浙江大学工程师学院,浙江杭州310058 [2]浙江大学航空航天学院,浙江杭州310058

出　　处：《浙江大学学报（工学版）》2023年第6期1251-1256,共6页Journal of Zhejiang University：Engineering Science

基　　金：国防基础科研计划资助项目(JCKY2019205A006)。

摘　　要：为了克服传统计算流体力学代理模型不能有效模拟流体力学高度非线性系统的困难,解决现有基于深度学习的代理模型难以有效处理时间顺序信息的问题,以扑翼飞行器的二维翼型为研究对象,基于门控循环单元(GRU)与多层感知机,建立扑翼非定常气动参数的快速预测模型,实现对扑翼扑动时高度非定常、非线性气动参数的实时预测.使用计算流体力学方法获得扑翼二维翼型扑动时的气动参数,以该参数为样本训练预测模型.将扑翼的扑动振幅、频率、摆动角度与运动时间输入预测模型,快速得到扑翼在对应扑动状态下的升力、阻力与力矩.实验结果表明,所建立的预测模型精度高、计算速度快,能够实现对扑翼非定常气动参数变化的实时高精度预测.Traditional computational fluid dynamics surrogate model cannot effectively simulate the highly nonlinear fluid,and existed deep learning-based surrogate models are difficult to deal with temporal sequence information effectively.Based on the gated recurrent units(GRU)and the multilayer perceptron,a two-dimensional airfoil of a flapping-wing aircraft was studied to establish a model for rapid predict unsteady aerodynamic parameters of the flapping-wing.The real-time prediction for the highly unsteady and nonlinear aerodynamic parameters of the flapping wing was realized.The computational fluid dynamics method was used to obtain the aerodynamic parameters of the flapping two-dimensional airfoil and the parameters were used as samples to train the prediction model.The flapping amplitude,the frequency,the swing angle and the motion time of the flapping wing were fed into the prediction model,and the lift,the drag and the moment in the relevant condition could be quickly output.Experimental results showed that the established prediction model has high accuracy and fast calculation speed.The prediction model could realize real-time high-precision prediction for unsteady aerodynamic parameters of flapping wings.

关 键 词：门控循环单元(GRU) 多层感知机 扑翼 气动参数预测 深度学习 计算流体力学 

分 类 号：V19[航空宇航科学与技术—人机与环境工程]