固定翼UAVによるロバスト最適化ベースの自律ダイナミックソアリング
Towards Robust Optimization-Based Autonomous Dynamic Soaring with a Fixed-Wing UAV
風速勾配を利用して無限飛行を可能にするダイナミックソアリングを、固定翼UAVで自律的に行うためのロバストな枠組みを提案し、実飛行で検証した。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
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著者: Marvin Harms, Jaeyoung Lim, David Rohr, Friedrich Rockenbauer, Nicholas Lawrance, Roland Siegwart
分類: cs.RO
原文アブストラクト
Dynamic soaring is a flying technique to exploit the energy available in wind shear layers, enabling potentially unlimited flight without the need for internal energy sources. We propose a framework for autonomous dynamic soaring with a fixed-wing unmanned aerial vehicle (UAV). The framework makes use of an explicit representation of the wind field and a classical approach for guidance and control of the UAV. Robustness to wind field estimation error is achieved by constructing point-wise robust reference paths for dynamic soaring and the development of a robust path following controller for the fixed-wing UAV. Wind estimation and path tracking performance are validated with real flight tests to demonstrate robust path-following in real wind conditions. In simulation, we demonstrate robust dynamic soaring flight subject to varied wind conditions, estimation errors and disturbances. Together, our results strongly indicate the ability of the proposed framework to achieve autonomous dynamic soaring flight in wind shear.
