Sphericity Error Evaluation Based on an Improved Particle Swarm Optimization

Author

Meifa, Huang ; Xiao, Yu ; Yanru, Zhong ; Bing, Kuang

Author_Institution

Sch. of Mech. & Electr. Eng., Guilin Univ. of Electron. Technol., Guilin, China

fYear

2009

fDate

14-17 Oct. 2009

Firstpage

657

Lastpage

660

Abstract

Based on the standards of the Geometric Product Specification and Verification-the new generation of GPS, a minimum zone mathematical model for evaluation of flatness error was given. The mathematical model of flatness error was first constructed by using Lp-norm on the basis of operations of the new generation of GPS. According to the characteristics of flatness error, an improved Particle Swarm Optimization (PSO) method based on genetic hybrid gene was applied to solve the mathematical model and the flatness error is obtained. Finally, an example verifies the feasibility and availability of the proposed method.

Keywords

error analysis; genetic algorithms; particle swarm optimisation; Lp-norm; flatness error; genetic hybrid gene; geometric product specification and verification; improved particle swarm optimization; minimum zone mathematical model; sphericity error evaluation; Computer errors; Error correction; Genetics; Global Positioning System; Hybrid power systems; Mathematical model; Measurement standards; Metrology; Particle swarm optimization; Shape measurement; Particle Swarm Optimization (PSO); Sphericity; evaluation; hybrid genes; the new generation of GPS;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on

Conference_Location

Guilin

Print_ISBN

978-0-7695-3899-0

Type

conf

DOI

10.1109/WGEC.2009.73

Filename

5402751