• DocumentCode
    1656838
  • Title

    Adaptive Path Control of Unmanned Ground Vehicle

  • Author

    Sun, Z. ; Cai, W.C. ; Liao, X.H. ; Dong, T. ; Song, Y.D.

  • Author_Institution
    Nat. Inst. of Aerosp., Hampton, VA
  • fYear
    2006
  • Firstpage
    335
  • Lastpage
    339
  • Abstract
    As part of the effort in developing cooperative control schemes for multiple unmanned ground vehicles (UGVs), this work explores automatically steering a three-wheel mobile vehicle via highly adaptive approach. By introducing a virtual current vector, a set of control algorithms for direct controlling the left and right driving motors are derived. As confirmed by both theoretical analysis and computer simulation, the developed algorithms are effective in maintaining good path tracking precision in the presence of uncertain dynamics due to various disturbances emanating from external loads, the wheel-ground contact, and other unmodeled nonlinearities
  • Keywords
    adaptive control; mobile robots; path planning; position control; remotely operated vehicles; robot dynamics; steering systems; telerobotics; uncertain systems; adaptive path control; automatic steering; three-wheel mobile vehicle; uncertain dynamics; unmanned ground vehicles; Adaptive control; Aerodynamics; Automatic control; Control systems; Land vehicles; Programmable control; Road vehicles; USA Councils; Vehicle dynamics; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2006. SSST '06. Proceeding of the Thirty-Eighth Southeastern Symposium on
  • Conference_Location
    Cookeville, TN
  • Print_ISBN
    0-7803-9457-7
  • Type

    conf

  • DOI
    10.1109/SSST.2006.1619099
  • Filename
    1619099