• DocumentCode
    631916
  • Title

    Modelling and control of robotic joints based on sliding pairs

  • Author

    Palli, G. ; Melchiorri, Claudio

  • Author_Institution
    DEI, Univ. di Bologna, Bologna, Italy
  • fYear
    2013
  • fDate
    9-12 July 2013
  • Firstpage
    1743
  • Lastpage
    1748
  • Abstract
    In this paper, the investigation on the friction phenomena acting at joint level in the robotic hand developed within the DEXMART project is reported. This side effect is given by the adoption of joints based on sliding pairs to reduce the complexity of the mechanism and to ease the assembly procedure. The joint friction has been modelled by means of a specialised version of the LuGre friction model in which the friction coefficients vary with the normal force. The estimated friction has been used in the joint position control loop as a feed-forward term for reducing the position error, as shown by experimental results. The developed friction model has been also used in the experiment to reconstruct the effects of the contact force applied to the joint by the external environment by means of a suitable observer.
  • Keywords
    dexterous manipulators; friction; manipulator kinematics; mechanical contact; observers; position control; DEXMART project; LuGre friction model; assembly procedure; contact force; feedforward term; friction coefficient; friction estimation; friction phenomena; joint position control loop; mechanism complexity reduction; normal force; observer; position error reduction; robotic hand; robotic joint control; sliding pairs; Estimation; Force; Friction; Joints; Robots; Tendons; Torque; Friction Modelling; Mechatronic Design; Nonlinear Systems; Robotic Hands;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
  • Conference_Location
    Wollongong, NSW
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-5319-9
  • Type

    conf

  • DOI
    10.1109/AIM.2013.6584349
  • Filename
    6584349