• DocumentCode
    3292913
  • Title

    Modeling and control for a biped robot on uneven surfaces

  • Author

    Li, Jian ; Chen, Weidong

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    2960
  • Lastpage
    2965
  • Abstract
    Adaptability to the uneven surfaces is the key ability for a biped robot. This paper presents walking control algorithm for the biped walking on uneven surfaces, including the walking pattern generation and the sensory feedback control algorithm. The biped robot is modeled as the passive inverted pendulum model (PIPM) for the walking pattern generation. The generated pattern based on the PIPM enables the biped robot to walk stably on the flat ground with a natural human-like walking. Furthermore, the online sensory feedback controller is developed to deal with the unevenness of the surfaces. The controller consists of the body attitude control, the desired ZMP control and the nonlinear landing control. Influence of the biped robot´s flexibility is considered into the control to reinforce the control effect. Finally, the walking experiment carried out on a biped robot confirms the effectiveness of the proposed walking controller.
  • Keywords
    attitude control; legged locomotion; nonlinear control systems; pendulums; ZMP control; biped robot; body attitude control; natural human-like walking; nonlinear landing control; online sensory feedback controller; passive inverted pendulum model; uneven surfaces; walking control algorithm; walking pattern generation; Adaptive control; Control systems; Feedback control; Humanoid robots; Humans; Intelligent robots; Knee; Legged locomotion; Robot sensing systems; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399513
  • Filename
    5399513