• DocumentCode
    2279166
  • Title

    Accuracy analysis of SCARA industrial robot based on screw theory

  • Author

    Liang, Zhao ; Meng, Su ; Changkun, Diao

  • Author_Institution
    Dept. of Mech. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    40
  • Lastpage
    46
  • Abstract
    Based on an analysis of error sources of industrial robots, we build a pose error model of industrial robots with screw theory, which overcomes the defect that the error on the y-axis could not be reflected by the classical D-H parameter method. Given the error sources which influence the end-executor´s accuracy, we established a screw representation of the static error caused by the structural error and transmission error and the dynamic error model which is caused by the inertia force and gravity. The model based on Selective Compliance Assembly Robot Arm (SCARA) robot is verified by the results of error diagrams drawn by MATLAB. The curves demonstrate that the dynamic error should be given enough attention when the static accuracy is high, and the dynamic error can be eliminated through controlling the direction of the static error. The error model provides an effective theoretical support for the design of industrial robots with different accuracy requirements.
  • Keywords
    assembling; end effectors; fasteners; industrial manipulators; robot dynamics; MATLAB; SCARA; Selective Compliance Assembly Robot Arm; accuracy analysis; dynamic error model; end-executor; industrial robot design; pose error model; screw representation; screw theory; Accuracy; Fasteners; Force; Joints; Robot kinematics; Service robots; SCARA robot; dynamic accuracy; error sources; rigidity; static accuracy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952630
  • Filename
    5952630