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Nonlinear Image-Based Visual Servo controller for automatic landing guidance of a fixed-wing aircraft

机译:基于非线性图像的视觉伺服控制器,用于固定翼飞机的自动着陆引导

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This paper describes a nonlinear Image-Based Visual Servo controller for automatic landing of a fixed wing aircraft in presence of a wind gust. Only 2D image features are exploited from the image of the runway to perform a typical path for landing maneuver (alignment, glide and flare maneuvers). The visual measurements for the alignment are the two lines delimitating the runway using the so-called bi-normalised Plücker Coordinates parametrisation. For the glide and flare maneuvers, additional 2D features such as the coordinates of the first two corners (or some specific markers) of runway are used. The controller is unique for the alignment and the glide maneuver; it exploits the full nonlinear dynamics of the airplane guidance problem to derive a control Lyapunov function along with an estimate of the wind gust. Finally simulation results are presented to illustrate the performance of the control approach.
机译:本文介绍了一种基于图像的非线性视觉伺服控制器,该控制器可在有阵风的情况下自动降落固定翼飞机。跑道图像仅利用2D图像特征来执行着陆动作(对准,滑行和眩光动作)的典型路径。对准的视觉测量是使用所谓的双归一化的普吕克坐标参数化来划定跑道的两条线。对于滑行和耀斑演习,使用了附加的2D特征,例如跑道的前两个角(或某些特定标记)的坐标。该控制器在对准和滑行操纵方面独树一帜。它利用飞机制导问题的全部非线性动力学来导出控制李雅普诺夫函数以及阵风的估计值。最后给出仿真结果以说明控制方法的性能。

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