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Fuzzy Decentralized Sliding-Mode Under-Actuated Trajectory-Tracking Control for Quadrotor Unmanned Aerial Vehicle

机译:模糊分散滑模驱动轨迹跟踪跟踪控制,用于四轮车无人驾驶车辆

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At beginning, the dynamic model of QUAV at low speed including translational and rotational motions is derived by Newton-Euler formulation. Four control inputs generated by four rotors are employed to accomplish the up-down, translation, roll, pitch and yaw motions. In this total, the proposed system produces six outputs that will affect the trajectory and pose of a QUAV: its 3D position and angular position with respect to the world-fixed coordinate. Based on the data of input-output, two scaling factors are first used to normalize each sliding surface and its derivative. According to the concept of if-then rule, an appropriate rule table for the ith subsystem is obtained. Then the output scaling factor based on Lyapunov stability is determined. The purpose of using the proposed fuzzy decentralized sliding-mode under-actuated trajectory-tracking control (FDSMUTC) is the huge uncertainties of a QUIAV often caused by different flight conditions. Finally, the simulation example is applied to illustrate the corresponding procedure of controller design.
机译:在开始时,包括平移和旋转动作的低速管理的动态模型是由牛顿 - 欧拉配方推导的。由四个转子产生的四个控制输入用于实现上下,翻译,卷,俯仰和偏航运动。在此总数中,所提出的系统产生六个输出,这将影响数据库的轨迹和姿势:其3D位置和相对于世界固定坐标的角度位置。基于输入输出的数据,首先使用两个缩放因子来标准化每个滑动表面及其衍生物。根据if-the-ture的概念,获得了第i个子系统的适当规则表。然后确定基于Lyapunov稳定性的输出缩放系数。使用所提出的模糊分散滑动模式的目的是致动的轨迹跟踪控制(FDSMUTC)是QuIAV通常由不同飞行条件引起的巨大不确定性。最后,应用仿真示例以说明控制器设计的相应过程。

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