收稿日期:
2022-12-19
修回日期:
2023-03-10
接受日期:
2023-03-29
出版日期:
2023-10-15
发布日期:
2023-04-12
通讯作者:
张伟伟
E-mail:aeroelastic@nwpu.edu.cn
基金资助:
Huailu LI1, Xu WANG1, Xiao WANG2, Tong ZHAO2, Weiwei ZHANG1()
Received:
2022-12-19
Revised:
2023-03-10
Accepted:
2023-03-29
Online:
2023-10-15
Published:
2023-04-12
Contact:
Weiwei ZHANG
E-mail:aeroelastic@nwpu.edu.cn
Supported by:
摘要:
由于显著的非线性、非定常效应,现有的风洞试验和数值方法仍然很难精确复现飞行器大迎角机动飞行特性。为了提高大迎角机动飞行仿真的精度,通过发展嵌入物理模型的集成神经网络架构来准确模化飞行器大迎角非定常气动力,进一步在时域耦合飞行器运动方程,实现了大迎角机动飞行仿真。以典型战斗机作为研究对象,将大迎角纵向飞行的开环宽频激励、开环简谐激励和过失速机动飞行数据作为气动力建模的样本数据,构建并对比了传统动导数模型、黑箱神经网络模型、集成神经网络模型这3种气动力模型,并进一步对比了耦合仿真的飞行特性,提出了利用飞行仿真方法来对气动力模型进行鲁棒性检验的思路。结果表明,嵌入物理模型的集成神经网络的气动力建模的升力系数误差较传统动导数模型降低了57%,并在耦合过程中具有更好的鲁棒性和稳定性;飞机响应误差较黑箱神经网络模型降低了63%,验证了所提出的建模框架在小样本飞行数据辨识中的优势和工程潜力。
中图分类号:
李怀璐, 王旭, 王霄, 赵彤, 张伟伟. 大迎角机动飞行的气动力建模与飞行仿真[J]. 航空学报, 2023, 44(19): 128410-128410.
Huailu LI, Xu WANG, Xiao WANG, Tong ZHAO, Weiwei ZHANG. Aerodynamic modeling and flight simulation of maneuver flight at high angle of attack[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(19): 128410-128410.
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