http://scholars.ntou.edu.tw/handle/123456789/4995
Title: | Intelligent fuzzy systems for aircraft landing control |
Authors: | Jih-Gau Juang Bo-Shian Lin Kuo-Chih Chin |
Keywords: | Particle Swarm Optimization;Pitch Angle;Particle Swarm Optimization Algorithm;Wind Disturbance;Neural Network Controller |
Issue Date: | 2005 |
Journal Volume: | 3613 |
Start page/Pages: | 851-860 |
Source: | Fuzzy Systems and Knowledge Discovery, Pt 1, Proceedings |
Abstract: | The purpose of this paper is to investigate the use of evolutionary fuzzy neural systems to aircraft automatic landing control and to make the automatic landing system more intelligent. Three intelligent aircraft automatic landing controllers are presented that use fuzzy-neural controller with BPTT algorithm, hybrid fuzzy-neural controller with adaptive control gains, and fuzzy-neural controller with particle swarm optimization, to improve the performance of conventional automatic landing system. Current flight control law is adopted in the intelligent controller design. Tracking performance and adaptive capability are demonstrated through software simulations. |
URI: | http://scholars.ntou.edu.tw/handle/123456789/4995 |
ISSN: | 3-540-28312-9 |
DOI: | |
Appears in Collections: | 通訊與導航工程學系 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.