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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28041

Title: Automatic Landing Control Using Particle Swarm Optimization
Authors: Jih-Gau Juang;Bo-Shian Lin;Kuo-Chih Chin
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Keywords: Particle swarm optimization;Automatic landing system;Fuu,y-neural controller
Date: 2005-07-10
Issue Date: 2011-10-21T02:35:41Z
Publisher: Proceedings of the 2005 IEEE International Conference on Mechatronics
Abstract: Abstract:This papet' proposes an intelligent aircraft automatic landing controller that uses fuzzy-neural controller with particle swarm optimization to improve the performance of conventional automatic landing system. Control gains are selected by a parameter searching method called particle swarm theory. Comparisons on different control schemes are given. Simulation results show that the proposed automatic landing controller can successfully expand the safety envelope of an aircuft to include severe wind disturbance environments without using the conventional gain scheduling technique.
Relation: pp.721-726
URI: http://ntour.ntou.edu.tw/handle/987654321/28041
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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