Kinematic Model and Parameter Calibration for Flexible Articulated Coordinate Measuring Arm

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Kinematic Model and Parameter Calibration for Flexible Articulated Coordinate Measuring Arm

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- Kinematic Model and Parameter Calibration for Flexible Articulated Coordinate Measuring Arm
- Vol. 44, Issue 8, Pages: 122-126(2010)
- 作者机构：
  
  华中科技大学材料成形与模具技术国家重点实验室,武汉,430074
- 作者简介：
- 基金信息：
- DOI：
  CLC： TH721
- Online First：10 August 2010，
  
  Published：2010
- 稿件说明：
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Kinematic Model and Parameter Calibration for Flexible Articulated Coordinate Measuring Arm[J]. 2010, 44(8): 122-126.
DOI：

Kinematic Model and Parameter Calibration for Flexible Articulated Coordinate Measuring Arm[J]. 2010, 44(8): 122-126. DOI：

摘要

利用局部指数积模型

建立了6自由度参数的运动学模型

克服了传统D-H模型只有4自由度参数的缺点

考虑了沿Y轴平移和绕Y轴旋转2个自由度运动学参数的误差对测量精度的影响.以单点测量值的标准差为目标函数

采用基于模拟退火的粒子群优化算法

通过全局寻优

避免了最小二乘法在求导和求逆时产生的较大计算误差

从而优化出运动学参数的标定值.实验结果表明

所提出的新模型及新运动学参数标定方法可以将柔性测量臂X、Y、Z轴的重复性精度分别提高95.91%、96.42%和96.10%.

Abstract

A kinematic model involving 6 degrees of freedom(DOF)parameters is established by the local product of exponentials formula

where the impact of the error of Y axis translation and rotation on measurement accuracy are considered make up incompleteness in D-H model. The standard deviation of the single-point repeatability is regarded as an objective function. To optimize the objective function and calibrate actual kinematic parameters

an improved particle swarm optimization(PSO)algorithm is proposed based on simulated annealing

where calculation errors are avoided from the derivation and inversion procedures in the traditional calibration method based on the least square method by global optimization. The experimental results show that the present kinematic model and calibration method enable to significantly improve the repeatability precision of X

Z axis up to 95.91%

96.42% and 96.10%

respectively.

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references

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GAO Guanbin, WANG Wen, LIN Keng, et al. Parameter identification based on modified annealing algorithm for articulated arm CMMs [J]. Optics and Precision Engineering, 2009,17(10):2499-2505.

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