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Disturbance observer-based output feedback control for uncertain QUAVs with input saturation

机译:基于干扰观测器的输出反馈控制,用于输入饱和度的不确定远程

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摘要

This paper investigates the problem of disturbance observer-based output feedback control for quadrotor unmanned aerial vehicles with external disturbances, uncertainties and input saturation. Different from the existing results, we propose a novel control algorithm towards attitude system and position system. First, considering that not all signals can be measured directly by sensors, we construct a full-order state observer to estimate the unmeasureable state variables. Second, a nonlinear disturbance observer is designed to estimate the unknown external disturbance encountered by quadrotor during flight. Then, novel second order sliding mode surfaces are proposed to design the attitude controller and position controller, which can effectively attenuate the chattering effect without sacrificing the robustness of the controller. In addition, an auxiliary system is developed to eliminate the influence caused by input saturation. Moreover, by using the Lyapunov stability theory, it is proved that the designed attitude and position controllers can ensure that all signals of the resulting closed-loop system are uniformly bounded. Finally, a simulation example is given to verify the effectiveness of proposed algorithm. (C) 2020 Elsevier B.V. All rights reserved.
机译:本文调查了对外扰动,不确定性和输入饱和度的四轮车无人航空车辆的干扰观察者输出反馈控制问题。与现有结果不同,我们提出了一种朝向姿态系统和位置系统的新颖控制算法。首先,考虑到并非所有信号都可以直接通过传感器测量,我们构造一个全阶状态观察者以估计未估量的状态变量。其次,非线性扰动观测器旨在估计飞行期间四轮电机遇到的未知外部干扰。然后,提出了新的二阶滑动模式表面来设计姿态控制器和位置控制器,其可以有效地衰减抖动效果而不牺牲控制器的稳健性。此外,开发了一种辅助系统以消除因输入饱和而造成的影响。此外,通过使用Lyapunov稳定性理论,证明了设计的姿态和位置控制器可以确保所产生的闭环系统的所有信号都是均匀的界限。最后,给出了仿真示例来验证所提出的算法的有效性。 (c)2020 Elsevier B.v.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2020年第6期|96-106|共11页
  • 作者单位

    Yanshan Univ Elect Engn Qinhuangdao 066004 Hebei Peoples R China;

    Yanshan Univ Elect Engn Qinhuangdao 066004 Hebei Peoples R China;

    Yanshan Univ Elect Engn Qinhuangdao 066004 Hebei Peoples R China;

    Yanshan Univ Elect Engn Qinhuangdao 066004 Hebei Peoples R China|North China Univ Sci & Technol Coll Elect Engn Tangshan 063000 Peoples R China;

    Northeastern Univ State Key Lab Rolling & Automat Shenyang Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    QUAV; State observer; Disturbance observer; Neural network; Input saturation;

    机译:站;状态观察者;干扰观察者;神经网络;输入饱和度;
  • 入库时间 2022-08-18 22:26:49

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