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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/18926

Title: 類神經網路理論應用於飛機自動著陸系統之研究
Applications of Neural Networks in Automatic Landing System
Authors: 莊季高
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Keywords: 類神經網路;自動著陸系統
Neural network;Automatic landing system
Date: 2000
Issue Date: 2011-08-17T07:05:43Z
Abstract: The purpose of this study is to apply intelligent controller to aircraft automatic landing system. It is noted that a conventional autopilot has difficulties in severe wind disturbances during the landing phase. In this study, multilayer feedforward neural network and radial basis function neural network are applied to the aircraft landing control. Simulation results show that the trained controller can guide the aircraft landing safely through wind disturbances. Also, strength ranges of wind turbulence and wind shear for a safety landing are suggested.
URI: http://ntour.ntou.edu.tw/handle/987654321/18926
Appears in Collections:[通訊與導航工程學系] 研究計畫

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