• DocumentCode
    2426697
  • Title

    Mixed nonlinear-sliding mode control of an unmanned farm tractor in the presence of sliding

  • Author

    Matveev, Alexey S. ; Hoy, Michael ; Savkin, Andrey V.

  • Author_Institution
    Dept. of Math. & Mech., St. Petersburg Univ., St. Petersburg, Russia
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    927
  • Lastpage
    932
  • Abstract
    The paper considers the problem of automatic path tracking by autonomous farming vehicles subject to wheel slips, which are characteristic for agricultural applications. Two guidance laws are proposed to solve this problem, and both explicitly take into account the constraints on the steering angle and ensure tracking an arbitrarily curved path. The first law is implemented by the pure sliding-mode controller, whereas the second one combines the sliding mode approach with a smooth nonlinear control law, using control chattering at the reduced amplitude as compared with the first law. Mathematically rigorous proofs of global convergence and robust stability of the proposed guidance laws are presented. In doing so, the slipping effects are treated as bounded uncertainties. Simulation results confirm the applicability and performance of the proposed guidance approach.
  • Keywords
    agricultural machinery; mobile robots; nonlinear control systems; position control; remotely operated vehicles; robust control; steering systems; variable structure systems; wheels; arbitrarily curved path; automatic path tracking; autonomous farming vehicles; bounded uncertainties; control chattering; global convergence; guidance laws; mixed nonlinear-sliding mode control; robust stability; slipping effects; smooth nonlinear control law; steering angle; unmanned farm tractor; wheel slips; Equations; Kinematics; Mathematical model; Sliding mode control; Uncertainty; Vehicles; Wheels; Mobile robots; agriculture; optimization; sliding mode control; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707274
  • Filename
    5707274