UTokyo Repository 東京大学

UTokyo Repository >
113 工学系研究科・工学部 >
18 航空宇宙工学専攻 >
1131810 学術雑誌論文 >

このページ(論文)をリンクする場合は次のURLを使用してください: http://hdl.handle.net/2261/28750

タイトル: Modeling of the Visual Approach to Landing Using Neural Networks and Fuzzy Supervisory Control
著者: Entzinger, Jorg Onno
Suzuki, Shinji
著者(別言語): エントジンガー, ヨルグ オノ
鈴木, 真二
キーワード: Pilot modeling
aircraft landing
visual perception
neural networks
fuzzy logic
発行日: 2009年10月
出版者: Elsevier
掲載誌情報: Aerospace Science and Technology. 2009.10, pp.
抄録: During the visual approach to landing of a fixed wing aircraft, a human pilot bases his control and timing of subsequent maneuvers mainly on the out-the-window view, as there is not sufficient time to read out all instruments. The skill of making smooth and soft landings is acquired mainly through experience. Research has been done to identify the most important features in the visual scene (cues) for two phases of the visual approach to landing: glide slope tracking and the flare maneuver. Using simulator and real flight data, neural networks have been trained for both phases to mimic the pilot's control based on the visual cues available. By using the gamma-operator in neuron transfer functions, a transparent model is obtained. Fuzzy supervisory control is proposed to couple the networks and thus provide insight in the pilot's decision making process with respect to timing of the flare initiation.
URI: http://hdl.handle.net/2261/28750
ISSN: 12709638
出現カテゴリ:015 技術・工学
1131810 学術雑誌論文


ファイル 記述 サイズフォーマット
JorgEntzinger_AerospaceScienceAndTechnology2009.pdf1.98 MBAdobe PDF見る/開く



Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - ご意見をお寄せください