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Motion error analysis of a shield machine tool-changing robot based on a screw-vector method

Industrial robots are widely used in various industrial fields, such as handling and welding, due to their good repeat positioning accuracy. The motion error determines the absolute accuracy. For robot design, dimensional parameter errors and drive parameter errors, a mathematical model of a kinemat...

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Autores principales: Qian, Wenxue, Song, Shuai, Liu, Kexin, Zeng, Xianhai, Yin, Xiaowei, Xie, Liyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705567/
https://www.ncbi.nlm.nih.gov/pubmed/36443429
http://dx.doi.org/10.1038/s41598-022-24847-6
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author Qian, Wenxue
Song, Shuai
Liu, Kexin
Zeng, Xianhai
Yin, Xiaowei
Xie, Liyang
author_facet Qian, Wenxue
Song, Shuai
Liu, Kexin
Zeng, Xianhai
Yin, Xiaowei
Xie, Liyang
author_sort Qian, Wenxue
collection PubMed
description Industrial robots are widely used in various industrial fields, such as handling and welding, due to their good repeat positioning accuracy. The motion error determines the absolute accuracy. For robot design, dimensional parameter errors and drive parameter errors, a mathematical model of a kinematic exponential product with error screws was proposed. The influence of different rod lengths and transmission errors on the accuracy of the end motion was analysed. A composite analysis method based on screw theory and vector method is proposed for the spatial deflection error of robot rotating joints with clearance. By using screw theory, a mathematical error model of the axial movement and spatial deflection of the joint gap was established. A mathematical model of joint space radial movement was established by using the three-dimensional vector method. Through numerical simulation, the position distribution law of the random error of the robot terminal in the workspace and the distribution of the plane projection density were obtained. By solving the attitude matrix, the distribution of each Euler angle error was obtained. A simulation test was carried out to verify the model's correctness. The calculation showed that the method is simple and correct, and the obtained error distribution characteristics are of great significance to improving robotic kinematic calibration accuracy and optimising the spatial position error distribution.
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spelling pubmed-97055672022-11-30 Motion error analysis of a shield machine tool-changing robot based on a screw-vector method Qian, Wenxue Song, Shuai Liu, Kexin Zeng, Xianhai Yin, Xiaowei Xie, Liyang Sci Rep Article Industrial robots are widely used in various industrial fields, such as handling and welding, due to their good repeat positioning accuracy. The motion error determines the absolute accuracy. For robot design, dimensional parameter errors and drive parameter errors, a mathematical model of a kinematic exponential product with error screws was proposed. The influence of different rod lengths and transmission errors on the accuracy of the end motion was analysed. A composite analysis method based on screw theory and vector method is proposed for the spatial deflection error of robot rotating joints with clearance. By using screw theory, a mathematical error model of the axial movement and spatial deflection of the joint gap was established. A mathematical model of joint space radial movement was established by using the three-dimensional vector method. Through numerical simulation, the position distribution law of the random error of the robot terminal in the workspace and the distribution of the plane projection density were obtained. By solving the attitude matrix, the distribution of each Euler angle error was obtained. A simulation test was carried out to verify the model's correctness. The calculation showed that the method is simple and correct, and the obtained error distribution characteristics are of great significance to improving robotic kinematic calibration accuracy and optimising the spatial position error distribution. Nature Publishing Group UK 2022-11-28 /pmc/articles/PMC9705567/ /pubmed/36443429 http://dx.doi.org/10.1038/s41598-022-24847-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Qian, Wenxue
Song, Shuai
Liu, Kexin
Zeng, Xianhai
Yin, Xiaowei
Xie, Liyang
Motion error analysis of a shield machine tool-changing robot based on a screw-vector method
title Motion error analysis of a shield machine tool-changing robot based on a screw-vector method
title_full Motion error analysis of a shield machine tool-changing robot based on a screw-vector method
title_fullStr Motion error analysis of a shield machine tool-changing robot based on a screw-vector method
title_full_unstemmed Motion error analysis of a shield machine tool-changing robot based on a screw-vector method
title_short Motion error analysis of a shield machine tool-changing robot based on a screw-vector method
title_sort motion error analysis of a shield machine tool-changing robot based on a screw-vector method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705567/
https://www.ncbi.nlm.nih.gov/pubmed/36443429
http://dx.doi.org/10.1038/s41598-022-24847-6
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