A multilevel calibration technique for an industrial robot with parallelogram mechanism

被引:60
作者
Guo, Yin [1 ,2 ]
Yin, Shibin [1 ]
Ren, Yongjie [1 ]
Zhu, Jigui [1 ]
Yang, Shourui [1 ]
Ye, Shenghua [1 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
[2] Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China
来源
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY | 2015年 / 40卷
基金
国家杰出青年科学基金; 中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Industrial robot; Multilevel calibration; Parallelogram mechanism; Grid division in joint workspace; Kinematic calibration; ACCURACY; METHODOLOGIES; MANIPULATORS; ERROR; MODEL;
D O I
10.1016/j.precisioneng.2015.01.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a multilevel calibration technique for improving the absolute accuracy of an industrial robot with a parallelogram mechanism (ABB IRB2400). The parallelogram structural error is firstly modeled based on the partial differential of the position function of a general four-bar linkage and the linearization of the position constraints of the parallelogram mechanism, the model coefficients are fitted from experimental data. Secondly, an absolute kinematic calibration model is established and resolved as a linear function of all the kinematic parameters, as well as the base frame parameters and tool parameters. Finally, contrary to most other similar works, the robot joint space (rather than Cartesian space) is divided into a sequence of fan-shaped cells in order to compensate the non-geometric errors, the positioning errors on the grid points are measured and stored for the error compensation on the target points. After the multilevel calibration, the maximum/mean point positioning errors on 284 tested configurations (evenly distributed in the robot common workspace) are reduced from 1.583/0.420 mm to 0.172/0.066 mm respectively, which is almost the same level as the robot bidirectional repeatability. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:261 / 272
页数:12
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