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Implementation of image-based autopilot controller using command filtered backstepping for fixed wing unmanned aerial vehicle

机译:使用命令过滤的基于图像的自动驾驶仪控制器的实现,用于固定机翼无人驾驶飞行器

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A visual based autopilot for a fixed-wing unmanned aerial vehicle (UAV) is one of the powerful method to track a target object on sea or ground level using an image based visual servoing control. A feature of target object must always appear on image plane of camera to that by controlling pan-tilt gimbal movement. Aircraft attitude and pan-tilt gimbal can be used as a reference to drive the aircraft to track the target autonomously. In this paper, the aircraft attitude and pan-tilt gimbal movement are controlled using command filtered backstepping method that is designed to adapt nonlinear aircraft dynamics and the camera gimbal image based visual servoing. Implementation of such a visual based autopilot is successfully conducted to govern the pan-tilt gimbal for pointing the camera direction and to drive the aircraft motion to track the target object.
机译:用于固定翼无人驾驶飞行器(UAV)的基于视觉的自动驾驶仪是使用基于图像的视觉伺服控制在海或地​​面上跟踪目标对象的强大方法之一。目标对象的一个​​特征必须始终出现在相机的图像平面上,通过控制泛倾斜万向节移动。飞机姿态和泛倾斜万向节可以用作驱动飞机自主跟踪目标的引用。在本文中,使用命令过滤的反向插入方法来控制飞机姿态和泛倾斜万向节,该方法旨在适应非线性飞行器动力学和基于相机万向图像的视觉伺服。成功地执行这种视觉基础自动驾驶仪的实现,以控制用于指向相机方向并驱动飞机运动以跟踪目标对象的泛倾斜万向节。

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