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Attitude Tracking for a Quadrotor UAV Based on Fuzzy PID Controller

机译:基于模糊PID控制器的四旋翼无人机姿态跟踪

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Recently, quadrotor Unmanned Aerial Vehicles (UAVs) have become one of the most interesting fields of research. Attitude control is a crucial research point and is also an important basis for the stable flight of the UAV. Therefore, it is necessary and meaningful to study the attitude tracking problem of the quadrotor UAV. Firstly, the control principle of the quadrotor UAV is described in the paper. Subsequently, the mathematical dynamic model of UAV is introduced via some basic derivation. Secondly, the overall control structure of the UAV is presented. In order to improve control performance, the fuzzy controller is used to tune the three parameters of the proportional-integral-derivative (PID) controller in altitude channel and attitude channel. In addition, the realization of the proposed control algorithm for the quadrotor UAV is presented in detail. Finally, the simulation test about the altitude and attitude tracking of the UAV is completed in Matlab/Simulink using PID controller and fuzzy PID controller respectively. Experimental results show that PID coupled with fuzzy control has a better tracking performance than pure PID.
机译:最近,四旋翼无人机(UAV)已成为最有趣的研究领域之一。姿态控制是关键的研究点,也是无人机稳定飞行的重要基础。因此,研究四旋翼无人机的姿态跟踪问题是必要且有意义的。首先,介绍了四旋翼无人机的控制原理。随后,通过一些基本推导介绍了无人机的数学动力学模型。其次,介绍了无人机的总体控制结构。为了提高控制性能,使用模糊控制器对海拔通道和姿态通道中比例积分微分(PID)控制器的三个参数进行调整。此外,详细介绍了所提出的四旋翼无人机控制算法的实现。最后,分别在Matlab / Simulink中使用PID控制器和模糊PID控制器完成了无人机高度和姿态跟踪的仿真测试。实验结果表明,PID结合模糊控制比纯PID具有更好的跟踪性能。

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