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Trajectory tracking control for wheeled mobile robots based on nonlinear disturbance observer with extended Kalman filter

机译:基于非线性扰动观测器的轮式移动机器人轨迹跟踪控制延长卡尔曼滤波器

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摘要

This article tackles the trajectory tracking problem for a non-holonomic wheeled mobile robot (WMR) with non-random and random disturbances. A nonlinear disturbance observer with extended Kalman filter (NDEKF) is designed to observe the velocity and the non-random disturbance of the WMR. An error feedback controller and a kinematic controller are proposed to achieve the disturbance compensation and perfect position tracking. The mean square exponential boundedness for the estimation error of NDEKF is presented. Applying the Lyapunov stability theory, it is proved that the velocity and position tracking error of the double closed-loop system are uniformly ultimately asymptotically stable. Finally, numerical simulations demonstrate the validity of the presented methodology. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文用非随机和随机干扰来解决非实体轮式移动机器人(WMR)的轨迹跟踪问题。具有扩展卡尔曼滤波器(NDEKF)的非线性干扰观测器旨在观察WMR的速度和非随机干扰。建议误差反馈控制器和运动控制器以实现干扰补偿和完美的位置跟踪。提出了NDEKF估计误差的平均方指数界限。应用Lyapunov稳定性理论,证明了双闭环系统的速度和位置跟踪误差均匀最终呈渐近稳定。最后,数值模拟证明了所提出的方法的有效性。 (c)2020富兰克林学院。 elsevier有限公司出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2020年第13期|8491-8507|共17页
  • 作者单位

    Yanshan Univ Sch Elect Engn Minist Educ Intelligent Control Syst & Intelligen Engn Res Ctr Qinhuangdao 066004 Hebei Peoples R China;

    Yanshan Univ Sch Elect Engn Minist Educ Intelligent Control Syst & Intelligen Engn Res Ctr Qinhuangdao 066004 Hebei Peoples R China;

    Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China;

    Hebei Univ Sci & Technol Sch Elect Engn Shijiazhuang 050018 Hebei Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 21:04:29

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