Correction Methods of Aerodynamic Force and Moment Coefficients Based on the Identification Data

被引:0
作者
Liu, Quanjun [1 ]
Zhang, Pengyu [1 ]
Xiao, Wen [1 ]
Diao, Jing-Dong [2 ]
机构
[1] Sci & Technol Space Phys Lab, Beijing 100076, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
来源
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年
基金
中国国家自然科学基金;
关键词
Identification; Aerodynamic Parameters; Correction Method; Neural Network;
D O I
10.23919/chicc.2019.8865807
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, three methods are proposed to correct the aerodynamic parameter sheet based on the identification data in typical flight states, including the optimized model fitting correction method based on L2 regularized least squares method, the deviation model fitting correction method and the neural network based fitting correction method. The correction results of these three methods are calculated with longitudinal aerodynamic data of the common aero vehicle, which verify the validity of the methods, and the comparison between them is also illustrated.
引用
收藏
页码:1581 / 1586
页数:6
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