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Adaptive Fractional-Order Nonsingular Fast Terminal Sliding Mode Based Robust Tracking Control of Quadrotor UAV With Gaussian Random Disturbances and Uncertainties

机译:基于高斯随机干扰和不确定性的高斯无人机的自适应分数令快速终端滑动模式基于高斯无人机的鲁棒跟踪控制

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摘要

Random external disturbances/parametric uncertainties and other factors deteriorate the tracking control performances of the quadrotor unmanned aerial vehicle (QUAV). To achieve fast speed and high accuracy performances for the QUAV, an adaptive fractional-order nonsingular fast terminal sliding mode controller (AFONFTSMC) is proposed in this article. Nonsingular fast terminal sliding mode surfaces with fractional derivative and integral are designed for both attitude and position of the QUAV. The proposed fractional-order (FO) nonlinear sliding surfaces ultimately and successively allow attitude and position tracking errors to converge toward zero in a finite time. Moreover, by designing adaptive laws based on only velocity and position variables for the AFONFTSMC, the upper bound of uncertainties/disturbances that affected the QUAV dynamics are rejected. To prove the finite-time convergence and zero attitude/position tracking errors using the suggested AFONFTSMC scheme, stability analysis is proposed. Simulation results under different cases show the effectiveness of the AFONFTSMC in terms of disturbances rejection and path following performances in comparison with recently FO controller, adaptive nonsingular fast terminal SMC, and other nonlinear controllers for the QUAV.
机译:随机外部干扰/参数不确定因素和其他因素恶化了四轮电机无人驾驶车辆(BAV)的跟踪控制性能。为了实现基站的快速速度和高精度性能,本文提出了一种自适应分数令快速终端滑动模式控制器(AFONFTSMC)。具有分数衍生物和整体的非垂直终端滑动模式曲面是为缓冲器的态度和位置而设计的。所提出的分数(FO)非线性滑动表面最终并连续允许姿态和位置跟踪误差,以便在有限时间内聚合到零。此外,通过基于仅基于AFONFTSMC的速度和位置变量来设计自适应定律,拒绝受影响的不确定性/干扰的上限。为了证明使用所建议的AFONFTSMC方案的有限时间收敛和零姿态/位置跟踪误差,提出了稳定性分析。在不同情况下的仿真结果显示了AFONFTSMC在与最近FO控制器,自适应非线性快速终端SMC和其他非线性控制器的性能相比下的干扰抑制和路径的效果。

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