Distributed formation control of autonomous underwater vehicles without velocity measurement

被引:0
|
作者
Zhang, Yuwei [1 ]
Wang, Shaoping [1 ,2 ]
Wang, Xingjian [1 ,2 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China
来源
PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020) | 2020年
基金
中国国家自然科学基金;
关键词
Formation control; autonomous underwater vehicle; leader-following; distributed observer; extended state observer; FOLLOWER FORMATION CONTROL; TRACKING CONTROL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper addresses the distributed formation control problem of autonomous underwater vehicles moving in horizontal plane without velocity measurement. A novel output-feedback formation protocol is proposed based on leader-following strategy while assuming that only a subset of followers know the information of leader. First, a distributed observer is designed for each follower to estimate the information of the leader and extended state observers are designed to estimate the unmeasured velocities as well as to recover lumped uncertainties induced by parameter perturbations and external disturbances. Based on the observation results, the formation tracking laws are proposed in kinematic and dynamic level, while desired tracking performance and robustness are guaranteed. It is proved that estimation errors and formation tracking errors converge to an arbitt-atily small neighborhood of zero. Simulation results are finally presented to validate the effectiveness of proposed strategy.
引用
收藏
页码:1938 / 1943
页数:6
相关论文
共 50 条
  • [1] Adaptive Distributed Formation Control of Multiple Autonomous Underwater Vehicles
    Emrani, Saba
    Dirafzoon, Alireza
    Talebi, Heidar A.
    2011 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), 2011, : 693 - 698
  • [2] Region Tracking Control of an Autonomous Underwater Vehicle without Velocity Measurement
    Mukherjee, Koena
    Kar, I. N.
    Bhatt, R. K. P.
    2014 PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC), 2014, : 213 - 218
  • [3] Distributed Model Predictive Depth and Surge Velocity Control of Multiple Autonomous Underwater Vehicles
    Bian Y.
    Zhang J.
    Li C.
    Xu B.
    Qin Z.
    Hu M.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2022, 49 (06): : 45 - 54
  • [4] Distributed Formation Control of Autonomous Underwater Vehicles Based on Flocking and Consensus Algorithms
    Pan, Wuwei
    Jiang, Dapeng
    Pang, Yongjie
    Qi, Yuda
    Luo, Daichao
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2017, PT I, 2017, 10462 : 735 - 744
  • [5] Synchronization of multiple autonomous underwater vehicles without velocity measurements
    Cui RongXin
    Yan WeiSheng
    Xu DeMin
    SCIENCE CHINA-INFORMATION SCIENCES, 2012, 55 (07) : 1693 - 1703
  • [7] Dynamic formation control for autonomous underwater vehicles
    燕雪峰
    古锋
    宋琛
    胡晓琳
    潘毅
    JournalofCentralSouthUniversity, 2014, 21 (01) : 113 - 123
  • [8] Geometric formation control for autonomous underwater vehicles
    School of Marine, Northwestern Polytechnical University, China
    不详
    Proc IEEE Int Conf Rob Autom, 2010, (4288-4293):
  • [9] Geometric Formation Control for Autonomous Underwater Vehicles
    Yang, Huizhen
    Zhang, Fumin
    2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, : 4288 - 4293
  • [10] Synchronization of multiple autonomous underwater vehicles without velocity measurements
    RongXin Cui
    WeiSheng Yan
    DeMin Xu
    Science China Information Sciences, 2012, 55 : 1693 - 1703