• DocumentCode
    2788442
  • Title

    Adaptive Stability Control of the Robot Based on Extended State Observer

  • Author

    Peng Su ; Yang Yang ; Long Huang ; Leiyu Zhang

  • Author_Institution
    Dept. of Mech. Design & Autom., Beihang Univ., Beijing, China
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    601
  • Lastpage
    605
  • Abstract
    For the uncertainties which exist objectively in the robot system impact on the motion performance of joint robot system, an active disturbance rejection control method of joint robot system is proposed based on state observation and compensation. The uncertainties of the system are introduced by constructing extended state in the method, and uncertainties and state variables are estimated by an Extended State Observer (ESO) which has the form of nonlinear ordinary differential equations. Then, estimate of uncertainties is considered as the robust control compensation in the control. The method does not rely on the specific form of uncertainties and measurement of all state parameters. Simulations taking 2R robot as an example demonstrate feasibility and effectiveness of the method, and the results show the system has good stability. The method proposed can directly be applied to stability control of complex systems.
  • Keywords
    adaptive control; compensation; nonlinear differential equations; observers; robots; robust control; 2R robot; active disturbance rejection control method; adaptive stability control; compensation; complex systems; extended state observer; joint robot system; motion performance; nonlinear ordinary differential equations; robust control compensation; state observation; Joints; Mathematical model; Observers; Robot kinematics; Stability analysis; Uncertainty; Active disturbance rejection control; Adaptive Control; ESO; Stability; State Observation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.139
  • Filename
    7120679