Line to Plane Parallelism Error Evaluation of the New Generation GPS Based on DCWPSO

Abstract

Currently Least Squares Method (LSM) is commonly applied in the error evaluation, but it is adaptive to the condition of low accuracy requirement. Besides, the error value obtained by LSM is not the minimum. In order to accurately evaluate parallelism error, the minimum zone mathematical model of the parallelism is given based on the new generation geometrical product specification and verifications (GPS). According to the characteristics of parallelism error evaluation, a new adaptive Particle Swarm Optimization algorithm with dynamical inertia weight (DCWPSO) is proposed to solve target optimization problems of the error evaluation. Finally we use the measurement of a line to plane parallelism error evaluation as an example to validate the proposed method. The experiment results show the feasibility and availability of the method．