The deviation between the actual and the theoretical kinematics parameters of the articulated arm coordinate measuring machine (AACMM) will lead to a decrease in the measurement accuracy. To improve the measurement accuracy, a carbon fiber standard gauge is designed and used to calibrate the AACMM based on space distance and single point. The coordinate system of the AACMM is established, based on which the homogeneous transformation matrixes from the probe to the base are derived. By regarding the parameter identification problem as fitting a nonlinear regression model, a search algorithm identification model is built. The data acquisition system based on the carbon fiber standard gauge is developed. And Particle Swarm Optimization (PSO) is used to identify kinematics parameters. Experimental results show that the accuracy of single point cone measurement and the measurement accuracy of space distance are all improved greatly after calibration.
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