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Trajectory Tracking of AR.Drone Quadrotor Using Fuzzy Logic Controller

机译:基于模糊控制器的AR.Drone四旋翼轨迹跟踪。

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摘要

In this paper, Fuzzy Logic Controller (FLC) is implemented in the AR.Drone quadrotor in order to make it follow a given trajectory reference. The distance between the position and angle of the AR.Drone to the reference point is used as the input of the FLC. As for the output, pitch value and yaw rate will be the controlling signal for the AR.Drone. The navigation data of the AR.Drone are forward speed (vx), sideward speed (vy), and yaw. These navigation data are going to be used to estimate positions and orientation of the AR.Drone. To compensate for the y-position drift, the value of vy is also used as a criterion to determine the roll compensation. The FLC algorithm is implemented to AR.Drone 2.0 Elite Edition using LabVIEW software. Also, the algorithm has been tested in various trajectories such as a straight line, a straight line with a perpendicular turn, a rectangular trajectory and a curved trajectory. The results have shown that AR.Drone can follow a given trajectory with various initial positions and orientations quite well
机译:本文在AR.Drone四旋翼飞行器中实现了模糊逻辑控制器(FLC),以使其遵循给定的轨迹参考。 AR.Drone与参考点之间的位置和角度之间的距离用作FLC的输入。至于输出,俯仰值和偏航率将是AR.Drone的控制信号。 AR.Drone的导航数据为前进速度(vx),侧向速度(vy)和偏航。这些导航数据将用于估计AR.Drone的位置和方向。为了补偿y位置漂移,vy的值也用作确定侧倾补偿的标准。使用LabVIEW软件将FLC算法实现到AR.Drone 2.0 Elite Edition。而且,该算法已经在各种轨迹上进行了测试,例如直线,具有垂直转弯的直线,矩形轨迹和弯曲轨迹。结果表明,AR.Drone可以很好地遵循具有各种初始位置和方向的给定轨迹

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