• DocumentCode
    1896869
  • Title

    Kinematic Calibration for Articulated Arm Coordinate Measuring Machines Base on Particle Swarm Optimization

  • Author

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

  • Author_Institution
    Inst. of Adv. Manuf. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    189
  • Lastpage
    192
  • Abstract
    Kinematic calibration is one of the most important ways to improve the accuracy of articulated arm coordinate measuring machines (AACMMs). The kinematic model of six degree of freedom (6-DOF) AACMMs was established by Denavit-Hartenberg method. One calibration technology base on particle swarm optimization (PSO) was presented, which used single-point repeatability as the fitness function and kinematic parameters as the position vector. An adaptive inertia weight was presented to improve the ability of global exploration and local exploitation of the PSO. A 6-DOF AACMM was used to carry out experimental tests in order to evaluate the efficiency of the self-calibration technology, showing that after calibration the accuracy is improved greatly.
  • Keywords
    calibration; coordinate measuring machines; kinematics; mechanical variables control; motion control; particle swarm optimisation; position control; self-adjusting systems; Denavit-Hartenberg method; adaptive inertia weight; articulated arm coordinate measuring machines; fitness function; kinematic calibration technology; kinematic model; particle swarm optimization; self-calibration technology; single-point repeatability; Arm; Calibration; Coordinate measuring machines; Displacement measurement; Manufacturing automation; Particle swarm optimization; Position measurement; Probes; Robot kinematics; Testing; adaptive inertia weight; articulated arm coordinate measuring machines; kinematic calibration; particle swarm optimization; repeatability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.54
  • Filename
    5287676