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Observer-Based Super-Twisting Sliding Mode Control with Fuzzy Variable Gains and its Application to Overactuated Quadrotors

机译:基于观察者的超级扭转滑动模式控制,具有模糊变量增益及其在过度的四轮压积器中的应用

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In this paper, we propose an observer-based super-twisting sliding mode control with fuzzy variable gains (OST-FVG) for general second-order nonlinear systems. First, the super-twisting observer with fuzzy variable gains is designed for state estimation, for which we show finite-time convergence of the estimation error to zero under the bounded disturbance. Then, together with the proposed observer, the sliding mode control with fuzzy variable gains is designed to ensure precise tracking control performance and to alleviate the chattering phenomenon. We apply the OSTFVG to the overactuated quadrotor modeled by the second-order nonlinear system within the quaternion framework, which resolves underactuation and singularity problems appeared in standard quadrotors. In simulation results of attitude and position control, the fuzzy mechanism implemented in the OSTFVG guarantees faster convergence of the quadrotor to the desired position and more precision tracking performance compared to the standard observer-based super-twisting sliding mode control.
机译:在本文中,我们提出了一种基于观察者的超扭曲滑动模式控制,用于一般二阶非线性系统的模糊变量增益(OST-FVG)。首先,设计具有模糊变量增益的超扭曲观测器,用于状态估计,我们在有界干扰下显示了估计误差为零的有限时间收敛性。然后,与所提出的观察者一起,使用模糊变量增益的滑动模式控制旨在确保精确的跟踪控制性能,并减轻抖动现象。我们将OSTFVG应用于由四阶非线性系统建模的二阶非线性系统内的过渡四核头,该框架解析了标准四轮压积器中出现的欠发狂和奇点问题。在姿态和位置控制的仿真结果中,与基于标准观察者的超扭转滑模控制相比,OSTFVG中实现的模糊机制可使四轮电机的速度更快地收敛到所需位置和更精确的跟踪性能。

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