• DocumentCode
    497397
  • Title

    Structural Parameter Identification for Articulated Arm Coordinate Measuring Machines

  • Author

    Gao, Guanbin ; Wang, Wen ; Lin, Keng ; Chen, Zichen

  • Author_Institution
    Inst. of Adv. Manuf. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    Errors of structural parameters are the most important factors causing uncertainty of articulated arm coordinate measuring machines (AACMMs). Therefore these parameters must be identified to insure the accuracy of AACMMs. The kinematic model of six degree of freedom (6-DOF) AACMMs was established, and the structural parameters influencing the accuracy of AACMMs were achieved through analysis. A method to acquire data for identification with a cone-shape hole was presented. With single-point repeatability as the objective function, a modified simulated annealing algorithm (MSAA) was presented to identify structural parameters. A 6-DOF AACMM was used to carry out experimental tests in order to evaluate the efficiency of the MSAA, showing that after identification the repeatability and length measuring accuracy are improved greatly.
  • Keywords
    coordinate measuring machines; parameter estimation; simulated annealing; 6-DOF; AACMMs; MSAA; articulated arm coordinate measuring machines; modified simulated annealing algorithm; six degree of freedom; structural parameter identification; Arm; Calibration; Coordinate measuring machines; Displacement measurement; Kinematics; Length measurement; Manufacturing automation; Simulated annealing; Structural engineering; Testing; articulated arm coordinate measuring machines; length measurement accuracy; repeatability; structural parameters identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.496
  • Filename
    5203393