Analysis of Pilot Landing Control Using Neural Network

Author(s):  
Yuki Sakamoto ◽  
Ryota Mori ◽  
Shinji Suzuki ◽  
Hiroshi Takahara
2008 ◽  
Vol 1 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Ryota MORI ◽  
Shinji SUZUKI ◽  
Kazuya MASUI ◽  
Hiroshi TOMITA

2002 ◽  
Vol 6 (6) ◽  
pp. 441-448 ◽  
Author(s):  
D. K. Chaturvedi ◽  
R. Chauhan ◽  
P. K. Kalra

2006 ◽  
Vol 2006.5 (0) ◽  
pp. 469-470
Author(s):  
Ryota MORI ◽  
Masaru NARUOKA ◽  
Takeshi TSUCHIYA ◽  
Shinji SUZUKI

2013 ◽  
Vol 313-314 ◽  
pp. 1385-1388
Author(s):  
Kai Jun Xu

This paper presents a novel architecture of intelligent landing control of an airplane using dual fuzzy neural networks, including roll control, pitch control and altitude hold control. The neural network control has been implemented in MATLAB and the data for training have been taken from Flight Gear Simulator. The flight performance has been shown in the Flight Gear Simulator. The objective is to improve the performance of conventional landing, roll, pitch and altitude hold controllers. Simulated results show that control for different flight phases is successful and the neural network controllers provide the robustness to system parameter variation.


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