基于遗传算法的圆度公差评定法与采用最小二乘法评定的比较

李子芳; 崔长彩; 车仁生; 黄庆成; 叶东

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基于遗传算法的圆度公差评定法与采用最小二乘法评定的比较

测试技术及设备 | 更新时间：2020-08-12

- 基于遗传算法的圆度公差评定法与采用最小二乘法评定的比较
- Comparison of genetic algorithm based evaluation of roundness with evaluation of roundness based on least squared method
- 光学精密工程 2003年11卷第3期页码：256-261
- 作者机构：
  
  1. 大庆石油学院电子工程系,黑龙江大庆,163400
  2. 哈尔滨工业大学305信箱,黑龙江哈尔滨,150001
- 作者简介：
- 基金信息：
  
  Key project supported by the National Natural Science Foundation of China(No. 502050
- DOI：
  中图分类号： O436.1
- 收稿日期：2002-12-15，
  
  修回日期：2003-03-27，
  
  网络出版日期：2003-06-15，
  
  纸质出版日期：2003-06-15
- 稿件说明：
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李子芳, 崔长彩, 车仁生, 黄庆成, 叶东. 基于遗传算法的圆度公差评定法与采用最小二乘法评定的比较[J]. 光学精密工程, 2003,(3): 256-261

LI Zi-fang, CUI Chang-cai, CHE Ren-sheng, HUANG Qing-cheng, YE Dong . Comparison of genetic algorithm based evaluation of roundness with evaluation of roundness based on least squared method[J]. Editorial Office of Optics and Precision Engineering, 2003,(3): 256-261
李子芳, 崔长彩, 车仁生, 黄庆成, 叶东. 基于遗传算法的圆度公差评定法与采用最小二乘法评定的比较[J]. 光学精密工程, 2003,(3): 256-261 DOI：

LI Zi-fang, CUI Chang-cai, CHE Ren-sheng, HUANG Qing-cheng, YE Dong . Comparison of genetic algorithm based evaluation of roundness with evaluation of roundness based on least squared method[J]. Editorial Office of Optics and Precision Engineering, 2003,(3): 256-261 DOI：

摘要

根据提出的计算模型

对基于遗传算法的圆度误差评定和传统上采用最小二乘法的评定算法进行了比较分析

根据方法本身的特点和计算结果

分析了二者的不同点以及在工程应用中的适用场合.所构造的模型包括边界控制点和区域随机点

其中边界控制点模拟了由圆度误差最小区域条件所定义的最大内切圆和最小外切圆

而区域随机点模拟了实际情况下测试点的随机性和不确定性.计算结果表明基于遗传算法的圆度评定法精度较高

优于基于最小二乘法的评定算法.

Abstract

The evaluation of roundness based on genetic algorithm method(GAM) is compared with the evaluation of roundness based on least square method(LSM) with their advantages and drawbacks discussed in detail using the model proposed

which features bounds control data to simulated the maximum inscribed and maximum circumscribed circles defined under minimum zone conditions

and randonly produced data to simulate the randomness and uncertainties of test points under actual conditions. The computational results show that the accuracy of GAM is better than that of LSM.

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references

SAMUEL G L, SHUNMUGAM M S. Evaluation of straightness and flatness error using computational geometric techniques[J]. Computer-aided Design, 1999, 31(13): 829-843.

GOU J B, CHU Y X, LI Z X. A geometric theory of form, profile and orientation tolerances[J]. Precision Engineering, 1999, 23(2): 79-93.

CARR K, FERREIRA P. Verification of form tolerances, Part I: basic issues, flatness, and straightness[J].Precision Engineering, 1995, 17(2): 134-143.

YAU H T. A model-based approach to form tolerance evaluation using non-uniform rational B-spline[J]. Robotics and Computer-Integrated Manufacturing, 1999, 15(4): 283-295.

SAMUEL G L, SHUNMUGAM M S. Evaluation of sphericity error from form data using computational geometric techniques[J]. International Journal of Machine tools & Manufacture. 2002, 42(3): 405-416.

HUANG J P. An exact minimum zone solution for three-dimensional straightness evaluation problems[J]. Precision Engineering, 1999, 23(3): 204-208.

NARAYANAN V N N, SHUNMUGAM M S. Function-oriented form evaluation of engineering surfaces [J].Precision Engineering, 1998, 22(2): 98-109.

CUI CH C, CHE R SH, YE D. Circularity error evaluation using genetic algorithm[J]. Optics and Precision Engineering, 2001, 9(6) : 499-505.

LI SHY. Fuzzy control, neural control and intelligent cybernetics [M]. Harbin City: Harbin Institute of Technology Press, Sept. , 1998.

GEN M, CHENG R W. Genetic algorithms and engineering design [M]. Beijing: Science press, Jan, 2000.

LIU Y CH, CHEN M. A new evaluation method for form and position errors[J]. Acta Metrologica Sinica, 2001,2(1): 18-22.

XU X Y, YANG ZH. Genetic algorithm and its application in robot control[J]. Optics and Precision Engineering, 2001, 9(4): 334-338.

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基于遗传算法的圆度误差评估