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应用改进模拟退火算法实现关节臂式坐标测量机的参数辨识

高贯斌 王文 林铿 陈子辰

光学精密工程2009,Vol.17Issue(10):2499-2505,7.
光学精密工程2009,Vol.17Issue(10):2499-2505,7.

应用改进模拟退火算法实现关节臂式坐标测量机的参数辨识

Parameter identification based on modified annealing algorithm for articulated arm CMMs

高贯斌 1王文 1林铿 1陈子辰1

作者信息

  • 1. 浙江大学,现代制造工程研究所,浙江,杭州,310027
  • 折叠

摘要

Abstract

Errors of structural parameters are one of the main factors causing uncertainty of Articulated Arm Coordinate Measuring Machines (AACMM),however,the accuracy of AACMMs can be improved efficiently by identifying structural parameters accurately.In this paper,the homogeneous transformation equations of 6-DOF AACMMs were established based on Denavit-Hartenberg model and a method to identify structural parameters with a cone-shape hole was analyzed.Then,a Modified Simulated Annealing Algorithm (MSAA) was presented to identify the structural parameters of the AACMMs.The MSAA can keep the best solution during search and can reduce the search range when the solution approaches to the global minimum,which improves the search efficiency and accuracy.The definition of single-point repeatability was deduced,and the structural parameters of AACMMs were identified by using single-point repeatability as the objective function based on the MSAA.A 6-DOF AACMM was used to carry out experimental tests to evaluate the efficiency of the presented method,the single-point results show that after identification,the repeatability and length measure-ment accuracy of the AACMM are improved by 7.87 and 5.59 times respectively.

关键词

关节臂式坐标测量机/结构参数辨识/标定/模拟退火算法

Key words

Articulated Arm Coordinate Measuring Machine (AACMM)/structural parameter identification/calibration/Simulated Annealing Algorithm (SAA)

分类

机械制造

引用本文复制引用

高贯斌,王文,林铿,陈子辰..应用改进模拟退火算法实现关节臂式坐标测量机的参数辨识[J].光学精密工程,2009,17(10):2499-2505,7.

基金项目

国家自然科学基金资助项目(No.50875241) (No.50875241)

浙江省科技计划重大专项基金资助项目(No.2006C11256) (No.2006C11256)

杭州市科技攻关基金资助项目(No.20062422B18) (No.20062422B18)

光学精密工程

OA北大核心CSCDCSTPCD

1004-924X

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