• DocumentCode
    2790250
  • Title

    Dynamics model based tracking control for laser guided measuring robot

  • Author

    Liu, Wanli ; Qu, Xinghu ; Ouyang, Jianfei

  • Author_Institution
    Sch. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    2329
  • Lastpage
    2333
  • Abstract
    The kinematics model and dynamics model of laser guided measuring robot (LGMR) are established based on the research on its structure and working principle. In deal with the moving deviation of LGMR caused by the characteristic inconsistent of two independent driving motors, a novel adaptive tracking control algorithm is proposed based on LGMR dynamic model. The control algorithm can compensation the uncertainties and interference of LGMR in real time. The unknown model parameters and disturbance are overcome effectively. Also, the stability of the control algorithm is proved with Lyapunov stability theory. Intensive experimental studies have been presented to confirm the effectiveness of the proposed algorithm; the results show that the control algorithm can be integrated to LGMR and guided it to required destination under automaticity and accuracy constraints, and prove efficiency and correctness of this control algorithm.
  • Keywords
    Lyapunov methods; adaptive control; position control; robot dynamics; stability; Lyapunov stability theory; adaptive tracking control algorithm; compensation; dynamics model based tracking control; independent driving motors; laser guided measuring robot; Adaptive control; Automatic control; Interference; Kinematics; Laser modes; Optical control; Programmable control; Robots; Stability; Uncertainty; Adaptivity; Dynamics; Measuring robot; Stability; Tracking control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192307
  • Filename
    5192307