• DocumentCode
    3326065
  • Title

    The global stability analysis of passive biped robot based on gradual point mapping — Cell mapping method

  • Author

    Xizhe Zang ; Jifeng Bai ; Yanhe Zhu ; Jie Zhao

  • Author_Institution
    State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    800
  • Lastpage
    804
  • Abstract
    On the basis of Poincare mapping and cell mapping theories, this paper proposes an improved PCM method that is Gradual Point Mapping - Cell Mapping (GPCM) method. Compared with Point Mapping - Cell Mapping Synthesis (PCM) method, GPCM method proposed can better address the calculation excessive, the credibility guarantee and other issues. The global stability of passive biped robot was analyzed by using GPCM method, the global domains of attraction of a variety of physical parameters´ combinations were solved, and we optimized the robot´s parameters accordingly. The dynamics simulation and robot prototype experiments show that the robot has strong robustness and can converge to a stable gait by a fast convergence rate.
  • Keywords
    legged locomotion; robot dynamics; stability; GPCM method; Poincare mapping; cell mapping method; cell mapping theories; dynamics simulation; global stability analysis; gradual point mapping cell mapping; passive biped robot; point mapping cell mapping synthesis method; robot prototype experiments; stable gait; Legged locomotion; Mathematical model; Phase change materials; Robot sensing systems; Stability analysis; Thigh; Domain of Attraction; Dynamic Simulation; Global Analysis; Passive Biped Robot; Poincare Mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/IMSNA.2013.6743398
  • Filename
    6743398