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

机译:AR.Drone位置控制的两种模糊逻辑控制器方案的比较

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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.
机译:本文介绍了在3维坐标系中使用模糊逻辑控制器(FLC)的AR.Drone位置控制方案。该控制方案使用两个FLC块,分别用于X-Y位置和Z位置。 X-Y位置的FLC块的输入是距离和角度,而输出是俯仰和偏航率。 Z位置将由另一个FLC块控制,该块具有两个输入,即z的设定点和z的实际位置,而输出为垂直速率。为了补偿无人机的侧向速度,使用了侧倾补偿。实现结果表明,AR.Drone可以在x,y位置约为6秒,z位置约为10秒的建立时间的情况下达到所需位置。响应x在设定点附近具有大约5%的振荡。对于相同的设定点位置,还将执行结果与其他模糊控制进行比较。

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