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Proceedings Paper

Planar straightness error evaluation based on particle swarm optimization
Author(s): Jian Mao; Huawen Zheng; Yanlong Cao; Jiangxin Yang
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Paper Abstract

The straightness error generally refers to the deviation between an actual line and an ideal line. According to the characteristics of planar straightness error evaluation, a novel method to evaluate planar straightness errors based on the particle swarm optimization (PSO) is proposed. The planar straightness error evaluation problem is formulated as a nonlinear optimization problem. According to minimum zone condition the mathematical model of planar straightness together with the optimal objective function and fitness function is developed. Compared with the genetic algorithm (GA), the PSO algorithm has some advantages. It is not only implemented without crossover and mutation but also has fast congruence speed. Moreover fewer parameters are needed to set up. The results show that the PSO method is very suitable for nonlinear optimization problems and provides a promising new method for straightness error evaluation. It can be applied to deal with the measured data of planar straightness obtained by the three-coordinates measuring machines.

Paper Details

Date Published: 13 October 2006
PDF: 6 pages
Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 62802D (13 October 2006); doi: 10.1117/12.716368
Show Author Affiliations
Jian Mao, Zhejiang Univ. (China)
Huawen Zheng, Zhejiang Univ. (China)
Yanlong Cao, Zhejiang Univ. (China)
Jiangxin Yang, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 6280:
Third International Symposium on Precision Mechanical Measurements
Kuang-Chao Fan; Wei Gao; Xiaofen Yu; Wenhao Huang; Penghao Hu, Editor(s)

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