scholarly journals EDP placement model based on Python data prediction

2021 ◽  
Vol 1774 (1) ◽  
pp. 012040
Author(s):  
Jiaxing Sun ◽  
Shuaibo Wang ◽  
Zhenghao Wang ◽  
Lixia Ji
Keyword(s):  
Author(s):  
Lin Shen ◽  
Da Huang ◽  
Genxing Wu

The traditional aerodynamic model based on the dynamic derivative tests and the [Formula: see text] model based on the yawing–rolling coupled motion tests are compared with respect to aerodynamic data, prediction of lateral-directional departure, and flight simulation. The study shows that the traditional model cannot fully reveal the unsteady aerodynamic characteristics and predict completely the departure behavior due to yaw–roll coupling. On the other hand, the [Formula: see text] model can reveal the departure behavior of an aircraft at some specific coupling ratios when the angle of attack reaches a critical value or more, using the aerodynamic data obtained from the yawing–rolling coupled wind tunnel tests. The comparison of flight simulation results shows that the lateral-directional departure is closely related to the coupling ratios, and for the investigated aircraft, the departure is mainly caused by the unsteady yawing and rolling moments at the coupling ratios showing unstable features.


2012 ◽  
Vol 503-504 ◽  
pp. 1397-1400 ◽  
Author(s):  
Ai Guo Shi ◽  
Bo Zhou ◽  
Bo Liu ◽  
Zuo Chao Wang ◽  
Chao Li

The equipment with higher measuring accuracy is installed at a suitable place in fore and aft to get ship sway data during sailing in wind and wave. The data is classified. The ship sway data prediction model based on PSO-SVM method is provided, and the extreme short time prediction result which meets the demand can be get after multi-steps calculation.


Sign in / Sign up

Export Citation Format

Share Document