• DocumentCode
    1968779
  • Title

    Robotic assembly of flexible sheet metal parts

  • Author

    Yuen, Ka-Ming ; Bone, Gary M.

  • Author_Institution
    Dept. of Mech. Eng., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    2
  • fYear
    1996
  • fDate
    22-28 Apr 1996
  • Firstpage
    1511
  • Abstract
    Two control problems encountered in robotic sheet metal assembly are addressed in this paper. They are the control of vibration when handling the sheet metal parts and the control of the contact state between the parts during assembly. For the first problem, a learning extremum controller (LEC) is proposed. Using a strain gauge based sensing device mounted on the robot gripper for vibration feedback, the orientation of the part relative to its path is controlled to reduce vibration. For the second problem, a sensor fusion system developed previously is used to provide feedback about the contact condition between two sheet metal parts. An integral contact controller (ICC) is used to correct any angular error between the parts to ensure full contact along the joint for subsequent welding. Experimental results confirmed the effectiveness of both control algorithms. The LEC reduced the vibration amplitude by up to 45%. The ICC reduced the angular error from 0.5° to 0.025° in 1.7 seconds
  • Keywords
    assembling; feedback; industrial robots; learning systems; position control; robots; sensor fusion; vibration control; welding; angular error; contact state; flexible sheet metal parts; integral contact controller; learning extremum controller; robotic assembly; sensor fusion system; strain gauge based sensing device; vibration feedback; Capacitive sensors; Error correction; Feedback; Grippers; Robot sensing systems; Robotic assembly; Sensor fusion; Strain control; Vibration control; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-2988-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1996.506919
  • Filename
    506919