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
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