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首页> 外文期刊>International journal of soft computing >Integrated Design of Adaptive and Fuzzy Logic Control for Trajectory Tracking of 2 DOF Quadrotor
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Integrated Design of Adaptive and Fuzzy Logic Control for Trajectory Tracking of 2 DOF Quadrotor

机译:2 DOF Quadrotor轨迹跟踪自适应和模糊逻辑控制的集成设计

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Accurate and precise trajectory tracking is crucial for a quadrotor to operate in disturbed environments. This study presents a novel tracking hybrid controller for a quadrotor UAV that combines the adaptive and fuzzy logic controller. The adaptive fuzzy controller is implemented to govern the behavior of two degrees of freedom quadrotor UAV. The proposed controller allows controlling the movement of UAVs to track a given trajectory in a 2D vertical plane. The fuzzy logic system provides an automatic adjustment of the adaptive parameters to reduce tracking errors and improve the quality of the controller. The results showed perfect behavior for the control law to control a quadrotor trajectory tracking task. To show the effectiveness of the intelligent controller, simulation results are given to confirm the advantages of the proposed control method, compared with fuzzy and proportional integral derivative (PID) control methods.
机译:准确且精确的轨迹跟踪对于在干扰环境中运行的四轮电机来说是至关重要的。 本研究提出了一种新颖的跟踪混合控制器,用于组合自适应和模糊逻辑控制器的四电阻UAV。 自适应模糊控制器被实施为管理两度自由量子的行为。 所提出的控制器允许控制UAV的运动来跟踪2D垂直平面中的给定轨迹。 模糊逻辑系统提供自动调整自适应参数,以减少跟踪误差并提高控制器的质量。 结果表明,控制法控制四轮车轨迹跟踪任务的完美行为。 为了表明智能控制器的有效性,仿真结果被赋予了所提出的控制方法的优势,与模糊和比例整体衍生物(PID)控制方法相比。

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