Passivity-Based Trajectory Tracking and Formation Control of Nonholonomic Wheeled Robots Without Velocity Measurements

被引:8
|
作者
Li, Ningbo [1 ]
Borja, Pablo [3 ]
Scherpen, Jacquelien M. A. [2 ]
van der Schaft, Arjan [2 ]
Mahony, Robert [4 ]
机构
[1] China Aerodynam Res & Dev Ctr, Sichuan 621000, Peoples R China
[2] Univ Groningen, Fac Sci & Engn, NL-9747 AG Groningen, Netherlands
[3] Univ Plymouth, Sch Engn Comp & Math, Plymouth PL4 8AA, England
[4] Australian Natl Univ, Res Sch Informat Sci & Engn, Canberra, ACT 2601, Australia
关键词
Nonholonomic constraints; passivity; port-Hamiltonian (pH); wheeled robots; PORT-HAMILTONIAN SYSTEMS; FEEDBACK; STABILIZATION; CONSENSUS;
D O I
10.1109/TAC.2023.3258320
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This note proposes a passivity-based control method for trajectory tracking and formation control of nonholonomic wheeled robots without velocity measurements. Coordinate transformations are used to incorporate the nonholonomic constraints, which are then avoided by controlling the front end of the robot rather than the center of the wheel axle into the differential equations. Starting from the passivity-based coordination design, the control goals are achieved via an internal controller for velocity tracking and heading control, and an external controller for formation in the port-Hamiltonian framework. This approach endows the resulting controller with a physical interpretation. To avoid unavailable velocity measurements or unreliable velocity estimations, we derive the distributed control law with only position measurements by introducing a dynamic extension. In addition, we prove that our approach is suitable not only for acyclic graphs but also for a class of nonacyclic graphs, namely, ring graphs. Simulations are provided to illustrate the effectiveness of the approach.
引用
收藏
页码:7951 / 7957
页数:7
相关论文
共 50 条
  • [31] Sliding Mode Control for Tracking of Nonholonomic Wheeled Mobile Robots
    Kigezi, Tom N.
    Alexandru, Stancu
    Mugabi, Edgar
    Musasizi, Paul Isaac
    2015 5TH AUSTRALIAN CONTROL CONFERENCE (AUCC), 2015, : 21 - 26
  • [32] Sliding mode tracking control of nonholonomic wheeled mobile robots
    Chwa, DK
    Seo, JH
    Kim, PJ
    Choi, JY
    PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 3991 - 3996
  • [33] Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots
    Wang, Xueyuan
    Zhang, Gexiang
    Neri, Ferrante
    Jiang, Tao
    Zhao, Junbo
    Gheorghe, Marian
    Ipate, Florentin
    Lefticaru, Raluca
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2016, 23 (01) : 15 - 30
  • [34] A Trajectory Tracking Control Algorithm of Nonholonomic Wheeled Mobile Robot
    Deng, Rui
    Zhang, Qingfang
    Gao, Rui
    Li, Mingkang
    Liang, Peng
    Gao, Xueshan
    2021 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2021), 2021, : 823 - 828
  • [35] A Trajectory Tracking Control Scheme Design for Nonholonomic Wheeled Mobile Robots with Low-level Control Systems
    Low, Chang Boon
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 536 - 543
  • [36] Passivity-Based Motion and Force Tracking Control for Constrained Elastic Joint Robots
    Meng, Xuming
    Keppler, Manuel
    Ott, Christian
    IEEE CONTROL SYSTEMS LETTERS, 2022, 7 : 217 - 222
  • [37] Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach
    Zheng, Yunjun
    Zheng, Jinchuan
    Shao, Ke
    Zhao, Han
    Xie, Hao
    Wang, Hai
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 11 (04) : 1007 - 1021
  • [38] Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots:A Barrier Function Sliding Mode Approach
    Yunjun Zheng
    Jinchuan Zheng
    Ke Shao
    Han Zhao
    Hao Xie
    Hai Wang
    IEEE/CAA Journal of Automatica Sinica, 2024, 11 (04) : 1007 - 1021
  • [39] Model predictive control for trajectory-tracking and formation of wheeled mobile robots
    Juntao Wei
    Bing Zhu
    Neural Computing and Applications, 2022, 34 : 16351 - 16365
  • [40] Model predictive control for trajectory-tracking and formation of wheeled mobile robots
    Wei, Juntao
    Zhu, Bing
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (19): : 16351 - 16365