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Title: Intelligent automatic landing system using time delay neural network controller
Authors: Jih-gau Juang;Hao-Hsiang Chang;Wu-Ben Chang
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2003
Issue Date: 2017-02-07T01:27:41Z
Publisher: Applied Artificial Intelligence
Abstract: Abstract: This paper presents an intelligent automatic landing system that uses a time delay neural network controller and a linearized inverse aircraft model to improve the performance of conventional automatic landing systems. The automatic landing system of an airplane is enabled only under limited conditions. If severe wind disturbances are encountered, the pilot must handle the aircraft due to the limits of the automatic landing system. In this study, a learning-through-time process is used in the controller training. Simulation results show that the neural network controller can act as an experienced pilot and guide the aircraft to a safe landing in severe wind disturbance environments without using the gain scheduling technique.
Relation: 17(7)
Appears in Collections:[Department of Communications Navigation and Control Engineering] Periodical Articles

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