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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40833

Title: Automatic Landing Control System Design Using Adaptive Neural Network and Its Hardware Realization
Authors: Jih-Gau Juang;Li-Hsiang Chien;Felix Lin
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2011
Issue Date: 2017-02-07T01:57:01Z
Publisher: IEEE Systems Journal
Abstract: Abstract: This paper presents an adaptive neural network, designed to improve the performance of conventional automatic landing systems (ALS). Real-time learning was applied to train the neural network using the gradient-descent of an error function to adaptively update weights. Adaptive learning rates were obtained through the analysis of Lyapunov stability to guarantee the convergence of learning. In addition, we applied a DSP controller using the VisSim/TI C2000 Rapid Prototyper to develop an embedded control system and establish on-line real-time control. Simulations show that the proposed control scheme has superior performance to conventional ALS under conditions of wind disturbance of up to 75 ft/s.
Relation: 5(2)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40833
Appears in Collections:[通訊與導航工程學系] 期刊論文

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