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Robot 10 parameter compensation method based on Newton–Raphson method

Published online by Cambridge University Press:  25 September 2023

Lin Chen
Affiliation:
Department of Mechatronics Engineering, College of Mechanical Engineering, Guangxi University, Nanning, China
Pinguang Nie
Affiliation:
Department of Mechatronics Engineering, College of Mechanical Engineering, Guangxi University, Nanning, China
Chengqi Meng
Affiliation:
Department of Mechatronics Engineering, College of Mechanical Engineering, Guangxi University, Nanning, China
Xuhong Chen
Affiliation:
Department of Mechatronics Engineering, College of Mechanical Engineering, Guangxi University, Nanning, China
Bingqi Jia
Affiliation:
Department of Mechatronics Engineering, College of Mechanical Engineering, Guangxi University, Nanning, China
Haihong Pan*
Affiliation:
Department of Mechatronics Engineering, College of Mechanical Engineering, Guangxi University, Nanning, China
*
Corresponding author: Haihong Pan; Email: hustphh@163.com

Abstract

In this study, a novel kinematic calibration method is proposed to improve the absolute positioning accuracy of 6R robot. This method can achieve indirect compensation of the 25 parameters of modified Denavit–Hartenberg (MDH). The procedures of the method are threefold. Firstly, the 25-parameter errors model of MDH is initially established. However, only the errors of 10 parameters can be directly compensated in the 25-parameter errors model, since the inverse kinematics algorithm has to meet Pieper criterion. Subsequently, a calibration method is proposed to improve accuracy of the absolute position, which uses the Newton–Raphson method to transform the 25-parameter errors into 10-parameter errors (namely T-10 parameter model). Finally, the errors corresponding to 10 parameters in the T-10 parameters model are identified through the least square method. The calibration performances of T-10 parameters model are comprehensively validated by experimentation on two ER6B-C60 robots and one RS010N robot. After kinematic calibration, the average absolute positioning accuracy of the three robots can be improved by about 90%. The results indicate that the proposed calibration method can achieve more precise absolute positioning accuracy and has a wider range of universality.

Information

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press

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