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Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation
The measurement of the stiffness of a precision reducer is essential to estimating the reducer. Since the angular sensor’s measurement results include the angle measurement error caused by the instrument’s torsional deformation, it cannot be used as the actual torsional deformation of the reducer. T...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758195/ https://www.ncbi.nlm.nih.gov/pubmed/36526661 http://dx.doi.org/10.1038/s41598-022-25683-4 |
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author | Yu, Zhen Hao, Zongrui |
author_facet | Yu, Zhen Hao, Zongrui |
author_sort | Yu, Zhen |
collection | PubMed |
description | The measurement of the stiffness of a precision reducer is essential to estimating the reducer. Since the angular sensor’s measurement results include the angle measurement error caused by the instrument’s torsional deformation, it cannot be used as the actual torsional deformation of the reducer. This paper analyzes the instrument’s torsional deformation characteristics to reduce the angle measurement error. Based on the analysis, a new method of calibrating the angle measurement error based on the improved B-spline curve fitting-gradient descent and particle swarm optimization -radial basis function neural network (IBSCF-GDPSO-RBF) method is proposed. The method can eliminate the angle measurement error caused by the instrument’s torsional deformation. The steps of the IBSCF-GDPSO-RBF method are presented, and the angular measurement error compensation is executed under load conditions. The experiment shows that the instrument deformation caused angle measurement error after compensation is within ± two angular seconds. This paper’s innovation proposes the error calibration method based on the IBSCF-GDPSO-RBF method. It provides a reference for measuring and evaluating the actual torsional rigidity of the Rotary Vector (RV) reducer under any load. |
format | Online Article Text |
id | pubmed-9758195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97581952022-12-18 Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation Yu, Zhen Hao, Zongrui Sci Rep Article The measurement of the stiffness of a precision reducer is essential to estimating the reducer. Since the angular sensor’s measurement results include the angle measurement error caused by the instrument’s torsional deformation, it cannot be used as the actual torsional deformation of the reducer. This paper analyzes the instrument’s torsional deformation characteristics to reduce the angle measurement error. Based on the analysis, a new method of calibrating the angle measurement error based on the improved B-spline curve fitting-gradient descent and particle swarm optimization -radial basis function neural network (IBSCF-GDPSO-RBF) method is proposed. The method can eliminate the angle measurement error caused by the instrument’s torsional deformation. The steps of the IBSCF-GDPSO-RBF method are presented, and the angular measurement error compensation is executed under load conditions. The experiment shows that the instrument deformation caused angle measurement error after compensation is within ± two angular seconds. This paper’s innovation proposes the error calibration method based on the IBSCF-GDPSO-RBF method. It provides a reference for measuring and evaluating the actual torsional rigidity of the Rotary Vector (RV) reducer under any load. Nature Publishing Group UK 2022-12-16 /pmc/articles/PMC9758195/ /pubmed/36526661 http://dx.doi.org/10.1038/s41598-022-25683-4 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 Yu, Zhen Hao, Zongrui Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation |
title | Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation |
title_full | Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation |
title_fullStr | Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation |
title_full_unstemmed | Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation |
title_short | Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation |
title_sort | calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758195/ https://www.ncbi.nlm.nih.gov/pubmed/36526661 http://dx.doi.org/10.1038/s41598-022-25683-4 |
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