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
Link To Document :
بازگشت