Research on cylindricity evaluation based on the Particle Swarm Optimization(PSO)

CUI Chang-cai; HUANG Fu-gui; ZHANG Ren-cheng; Li Bing

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Research on cylindricity evaluation based on the Particle Swarm Optimization(PSO)

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- Research on cylindricity evaluation based on the Particle Swarm Optimization(PSO)
- Optics and Precision Engineering Vol. 14, Issue 2, Pages: 256-260(2006)
- 作者机构：
  
  华侨大学机电及自动化学院,福建泉州,362021
- 作者简介：
- 基金信息：
- DOI：
  CLC： TH161.13;TP312
- Received：18 December 2005，
  
  Revised：18 January 2006，
  
  Published Online：30 April 2006，
  
  Published：30 April 2006
- 稿件说明：
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CUI Chang-cai, HUANG Fu-gui, ZHANG Ren-cheng, et al. Research on cylindricity evaluation based on the Particle Swarm Optimization(PSO)[J]. Optics and precision engineering, 2006, 14(2): 256-260.
DOI：

CUI Chang-cai, HUANG Fu-gui, ZHANG Ren-cheng, et al. Research on cylindricity evaluation based on the Particle Swarm Optimization(PSO)[J]. Optics and precision engineering, 2006, 14(2): 256-260. DOI：

摘要

提出了将粒子群优化算法用于圆柱度误差评定的设想。对算法的基本原理和实现步骤做了具体阐述

给出了圆柱度误差评定的基本问题

及其优化目标函数及算法的适应度函数和编码方式

对算法进行了可行性和准确性验算。计算结果表明

该方法对于圆柱度误差评定这类具有复杂目标函数和较多参数的非线性优化问题有很好的计算性能

优于最小二乘法;与遗传算法和其它满足最小区域条件计算方法相比

计算精度略优于前者或者与前者相当

能够获得精度较高的结果

而突出优点是简单

易于实现而且计算效率较高。

Abstract

A cylindricity evaluation approach based on the Particle Swarm Optimization (PSO) was proposed. The fundamentals and implementation techniques of PSO were discussed. The problem of cylindricity evaluation was presented and its optimization goal and variables were given. The fitness function of PSO with real number encoding of particles was also described. Taking a example for verifying the feasibility and computation precision of the approach

the computation results show that the PSO-based approach is a useful tool for solving such nonlinear optimization problems as cylindricity evaluation with complicated goal function and more parameters. It is superior to that given by the Least Square Method (LSM) and a little better than or equal to those given by GA-based method and another Minimum Zone Method (MZM). Moreover

the PSO-based approach is not only effective but also simple and easy to implement for computers.

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Keywords

references

. KENNEDY J,EBERHART R. Particle swarm optimization . Proceedings of IEEE International Conference on Neural Networks ( ICNN'95) . Australia , 1995,1942-1948.

. 崔长彩, 车仁生, 罗小川,等. 基于实数编码遗传算法的平面度评定[J]. 光学精密工程. 2002, 10(1): 36-40. CUI CH C, CHE R SH, LUO X CH, et al. Flatness evaluation based on real-coded genetic algorithm[J]. Optics and Precision Engineering. 2002,10(1):36-40. (in Chinese)

. 樊叔维, 张兴志. 全局优化算法—自适应模拟退火-遗传算法的研究[J]. 光学精密工程. 1999, 7(4): 16-21. FAN SH W, ZHANG X ZH. Global optimization algorithm-study on adaptive simulation annealing-genetic algorithm[J]. Optics and Precision Engineering. 1999, 7(4): 16-21. (in Chinese)

. CHANGCAI C,RENSHENG CH,DONG Y.Precise computation of planar straightness error using genetic algorithm[J]. Optics and Precision Engineering. 2003,11(4):374-378.

. 周家林, 段正澄, 邓建春, 等. 基于粒子群算法的神经网络优化及其在镗孔加工中的应用[J]. 中国机械工程,2004,15(21):1927-1929. ZHOU J L,DUAN ZH CH,DENG J CH, et al. ANN trained by particle swarm optimization and its applications in boring processes[J]. China Mechanical Engineering, 2004, 15(21): 1927-1929. (in Chinese)

. 杨科, 陈胜兵, 焦永昌,等. 粒子群优化算法用于阵列天线方向图综合设计 . http://www.lib.xidian.edu.cn/newindex/students/yangke.pdf. YANG K,CHEN SH B,JIAO Y CH, et al. Particle swarm optimization in the antenna array pattern synthesis . http://www.lib.xidian.edu.cn/newindex/students/yangke.pdf.(in Chinese)

. 刘巽尔. 形状和位置公差—原理与应用[M]. 机械工业出版社, 1999. LIU S E. Form and Position tolerance:principles and application[M]. Machinery Industry Press, 1999. (in Chinese)

. FERREIRA C K. Verification of form tolerances, Part II: Cylindricity and straightness of a median line[J]. Precision Engineering, 1995, 17(2): 144-156.

. CHANGCAI C,RENSHENG C,DONG Y, et al. Research on the minimum zone cylindricity evaluation based on genetic algorithms[J]. Chinese Journal of Mechanical Engineering. 2003, 16(2): 167-170.

. American National Standard Institute(ANSI). Mathematical definition of dimensioning and tolerancing principles, ANSI standard Y14.5.1M[S]. The American Society of Mechanical Engineers (ASME), 1994.

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