Comparison of two fuzzy logic controller schemes for position control of AR.Drone

V. Indrawati, A. Prayitno, Gabriel Utomo
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引用次数: 8

Abstract

This paper explains the AR.Drone position control scheme using Fuzzy Logic Controller (FLC) in a 3 dimensional coordinate. This control scheme uses two FLC block, for X-Y position and Z position. The inputs of FLC block for X-Y position are distance and angle, while the output is pitch and yaw rate. Z-position will be controlled by another FLC block, which has two inputs, namely setpoint of z and real position of z, while the output is vertical rate. To compensate the sideward speed of the drone, roll compensation is used. The implementation results show that the AR.Drone can achieve the desired position with settling time for x, y position approximately 6 seconds, while z position around 10 seconds. Response x has the oscillation of approximately 5% around the set point. The implementation result are also compared with other fuzzy control for the same setpoint position.
两种模糊逻辑控制器在ar无人机位置控制中的比较
本文阐述了基于模糊逻辑控制器(FLC)的ar无人机三维坐标位置控制方案。该控制方案使用两个FLC块,用于X-Y位置和Z位置。FLC块X-Y位置的输入是距离和角度,输出是俯仰和偏航率。z位置将由另一个FLC块控制,该FLC块有两个输入,即设定点z和实际位置z,输出为垂直速率。为了补偿无人机的侧向速度,采用了滚转补偿。实现结果表明,AR.Drone在x、y位置的定位时间约为6秒,z位置的定位时间约为10秒。响应x在设定点周围振荡约5%。并将其实现结果与相同设定值位置下的其他模糊控制方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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