Sliding-Mode-Disturbance-Observer-Based Robust Tracking Control for Omnidirectional Mobile Robots With Kinematic and Dynamic Uncertainties

被引:33
|
作者
Jeong, Sangyoon [1 ]
Chwa, Dongkyoung [2 ]
机构
[1] Hyundai Robot, Sungnam 13615, South Korea
[2] Ajou Univ, Dept Elect & Comp Engn, Suwon 443749, South Korea
基金
新加坡国家研究基金会;
关键词
Uncertainty; Kinematics; Actuators; Mobile robots; Friction; DC motors; Wheels; Kinematic and dynamic uncertainties; omnidirectional mobile robot (OMR); robust tracking control; sliding mode disturbance observer (SMDOB); system identification; PLATFORM; SYSTEM;
D O I
10.1109/TMECH.2020.2998506
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, a robust tracking control method is developed for omnidirectional mobile robots (OMRs) with uncertainties in the kinematics and dynamics. The kinematic and dynamic uncertainties that significantly degrade the OMR tracking control performance should be simultaneously compensated, which has not been achieved by the existing OMR tracking control methods. Therefore, the OMR dynamics containing the actuator dynamics and dynamic uncertainties are obtained by including the friction present in the OMR and are identified using a system identification method for the actual OMR system. The kinematic uncertainties present in the OMR kinematics are then derived unlike the existing studies that do not consider them. A sliding mode disturbance observer is proposed to estimate these kinematic uncertainties. A robust backstepping-like feedback linearization tracking controller using estimates of both the kinematic and dynamic uncertainties is also proposed to compensate for these uncertainties. The proposed method is validated through a stability analysis and simulation and experimental results using an actually implemented OMR system.
引用
收藏
页码:741 / 752
页数:12
相关论文
共 50 条
  • [21] Robust Tracking Control for Self-balancing Mobile Robots Using Disturbance Observer
    Mou Chen
    IEEE/CAA Journal of Automatica Sinica, 2017, 4 (03) : 458 - 465
  • [22] Omnidirectional mobile robot robust tracking: Sliding-mode output-based control approaches
    Ovalle, L.
    Rios, H.
    Llama, M.
    Santibanez, V.
    Dzul, A.
    CONTROL ENGINEERING PRACTICE, 2019, 85 : 50 - 58
  • [23] Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems
    Shuyi Shao
    Mou Chen
    Science China Information Sciences, 2020, 63
  • [24] Sliding Mode Disturbance Observer-Based Robust Prescribed Performance Tracking Control for Research Reactor
    Myunghwan Eom
    Dongkyoung Chwa
    Journal of Electrical Engineering & Technology, 2020, 15 : 215 - 225
  • [25] Sliding Mode Disturbance Observer-Based Robust Prescribed Performance Tracking Control for Research Reactor
    Eom, Myunghwan
    Chwa, Dongkyoung
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2020, 15 (01) : 215 - 225
  • [26] Double Sliding Surfaces based on a Sliding Mode Control for a Tracking Control of Mobile Robots
    Park, J.B. (jbpark@yonsei.ac.kr), 1600, Institute of Control, Robotics and Systems (19):
  • [27] Robust Tracking Control Using Fuzzy Disturbance Observer for Wheeled Mobile Robots with Skidding and Slipping
    Kang, Hyo-Seok
    Hyun, Chang-Ho
    Kim, Seungwoo
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2014, 11
  • [28] Disturbance observer based adaptive sliding mode control for power tracking of PWRs
    Hui, Jiuwu
    Yuan, Jingqi
    NUCLEAR ENGINEERING AND TECHNOLOGY, 2020, 52 (11) : 2522 - 2534
  • [29] Tracking control for mobile robots based on improved RBFNN and sliding mode control
    Yu Qi-jiang
    Liu Shi-rong
    PROCEEDINGS OF 2006 CHINESE CONTROL AND DECISION CONFERENCE, 2006, : 1347 - +
  • [30] Sliding mode control for trajectory tracking of mobile robots
    Yu, Huacheng
    Sheng, Ning
    Ai, Zidong
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 13 - 17