• DocumentCode
    2337920
  • Title

    Tension optimization for the dynamic model of cable-driven humanoid arm

  • Author

    Cui, Xiang ; Wang, Jianhua ; Chen, Weihai ; Zhang, Jingbing

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    1705
  • Lastpage
    1710
  • Abstract
    A human upper-limb endoskeleton has 7 degrees of freedom to achieve various tasks dexterously. Therefore, the biological structures of human arm are attractive to researchers, and in this paper, a 7-DOF (degree of freedom) humanoid arm with cable-driven is presented. For CDHA inheriting the human arm´s natural features, it is expected to possess the remarkable advantages of a human arm. Then a critical issue, i.e., the dynamic modeling of the CDHA is conducted based on Lagrangian formulation. For more effective tension control, the optimization method of cable tension distribution is addressed with some restrictions, that is, limiting torque constraints of actuators, tension constraints, controllable workspace and motion performance. At last, several simulations in MATLAB of the dynamic model and tension optimization algorithm are illustrated.
  • Keywords
    dexterous manipulators; humanoid robots; manipulator dynamics; motion control; optimisation; tensile strength; torque control; CDHA; Lagrangian formulation; MATLAB; actuator; biological structure; cable tension distribution; cable-driven humanoid arm; degree of freedom humanoid arm; dynamic modeling; human arm natural features; human upper-limb endoskeleton; motion performance; optimization method; tension constraint; tension control; tension optimization algorithm; torque constraint; Computational modeling; Dynamics; Jacobian matrices; Joints; Kinematics; Mathematical model; Power cables; Cable-driven parallel mechanism; Dynamic modeling; Optimal tension distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6361000
  • Filename
    6361000