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.
A Novel Architecture for Civil Aviation Aircraft Intelligent Landing Using Dual Fuzzy Neural Network
Applied Mechanics and Materials ; 313-314 ; 1385-1388
2013-03-25
4 pages
Article (Journal)
Electronic Resource
English
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British Library Online Contents | 2009
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