交通・物流部門大会講演論文集
Online ISSN : 2424-3175
セッションID: 3106
会議情報
3106 ニューラルネットワークによる航空機の飛行制御に関する研究(運動制御,OS3 交通・物流システムのダイナミクスと制御,一般講演)
芳賀 亮太鈴木 真二河野 充
著者情報
会議録・要旨集 フリー

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抄録
This paper considers an adaptive flight control system using neural networks. In this system, neural networks are aimed to obtain an inverse dynamics of an aircraft online and the feedback error learning (FEL) strategy proposed by Kawato et al is used as their learning scheme. In FEL, neural networks are arranged parallel to a conventional feedback (CFB) controller as a feedforward (FF) controller which makes it possible to cover the shortcomings of the CFB controller and improve the whole control performance. Numerical examples demonstrate the control process of an aircraft under various situations and show that the constructed control system is able to improve the control performance by learning the local inverse dynamics of an aircraft.
著者関連情報
© 2005 一般社団法人 日本機械学会
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