• DocumentCode
    1850235
  • Title

    An adaptive leader-follower formation controller for multiple AUVs in spatial motions

  • Author

    Emrani, Saba ; Dirafzoon, Alireza ; Talebi, H.A. ; Nikravesh, S. K Yadavar ; Menhaj, M.B.

  • Author_Institution
    Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    59
  • Lastpage
    64
  • Abstract
    This paper considers the problem of leader-follower formation control for multiple Autonomous Underwater Vehicles (AUVs) in spatial motions. The objective is to derive a leader robot along a desired trajectory, and make the follower robots keep a desired formation with respect to the leader´s configuration in 3-dimensional spaces. Unlike previous studies on formation control of multiple AUVs, hydrodynamic parameter uncertainties of the AUVs is incorporated into the formation control law. To deal with such uncertainties, an adaptive control rule mainly based on inverse dynamics of the plant is developed. A Lyaponov based close-loop stability analysis is also fully presented in the paper. In order to approve the capability of the proposed controller, some illustrative cases are considered. The results of the simulations are very promising.
  • Keywords
    Lyapunov methods; adaptive control; closed loop systems; hydrodynamics; mobile robots; motion control; position control; robot dynamics; uncertain systems; underwater vehicles; vehicle dynamics; Lyaponov based close-loop stability analysis; adaptive control rule; adaptive leader-follower formation controller; desired trajectory; follower robots; formation control law; hydrodynamic parameter uncertainty; inverse dynamics; leader robot; multiple AUV; multiple autonomous underwater vehicles; spatial motions; Equations; Lead; Mathematical model; Robots; Trajectory; Vectors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675368
  • Filename
    5675368