Planar straightness error evaluation based on particle swarm optimization

Jian Mao; Huawen Zheng; Yanlong Cao; Jiangxin Yang

doi:10.1117/12.716368

13 October 2006 Planar straightness error evaluation based on particle swarm optimization

Jian Mao, Huawen Zheng, Yanlong Cao, Jiangxin Yang

Proceedings Volume 6280, Third International Symposium on Precision Mechanical Measurements; 62802D (2006) https://doi.org/10.1117/12.716368
Event: Third International Symposium on Precision Mechanical Measurements, 2006, Urumqi, China

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.

Citation Download Citation

Jian Mao, Huawen Zheng, Yanlong Cao, and Jiangxin Yang "Planar straightness error evaluation based on particle swarm optimization", Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 62802D (13 October 2006); https://doi.org/10.1117/12.716368

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available