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Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques

In this study, a novel strain gauge arrangement and error reduction techniques were proposed to minimize crosstalk reading and simultaneously increase sensitivity on a decoupled six-axis force–moment (F/M) sensor. The calibration process that comprises the least squares method and error reduction te...

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Autores principales: Kebede, Getnet Ayele, Ahmad, Anton Royanto, Lee, Shao-Chun, Lin, Chyi-Yeu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651882/
https://www.ncbi.nlm.nih.gov/pubmed/31288472
http://dx.doi.org/10.3390/s19133012
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author Kebede, Getnet Ayele
Ahmad, Anton Royanto
Lee, Shao-Chun
Lin, Chyi-Yeu
author_facet Kebede, Getnet Ayele
Ahmad, Anton Royanto
Lee, Shao-Chun
Lin, Chyi-Yeu
author_sort Kebede, Getnet Ayele
collection PubMed
description In this study, a novel strain gauge arrangement and error reduction techniques were proposed to minimize crosstalk reading and simultaneously increase sensitivity on a decoupled six-axis force–moment (F/M) sensor. The calibration process that comprises the least squares method and error reduction techniques was implemented to obtain a robust decoupling matrix. A decoupling matrix is very crucial for minimizing error and crosstalk. A novel strain gauge arrangement that comprised double parallel strain gauges in the decoupled six-axis force–moment sensor was implemented to obtain high sensitivity. The experimental results revealed that the maximum calibration error, F/M sensor measurement error, and crosstalk readings were reduced to 3.91%, 1.78%, and 4.78%, respectively.
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spelling pubmed-66518822019-08-08 Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques Kebede, Getnet Ayele Ahmad, Anton Royanto Lee, Shao-Chun Lin, Chyi-Yeu Sensors (Basel) Article In this study, a novel strain gauge arrangement and error reduction techniques were proposed to minimize crosstalk reading and simultaneously increase sensitivity on a decoupled six-axis force–moment (F/M) sensor. The calibration process that comprises the least squares method and error reduction techniques was implemented to obtain a robust decoupling matrix. A decoupling matrix is very crucial for minimizing error and crosstalk. A novel strain gauge arrangement that comprised double parallel strain gauges in the decoupled six-axis force–moment sensor was implemented to obtain high sensitivity. The experimental results revealed that the maximum calibration error, F/M sensor measurement error, and crosstalk readings were reduced to 3.91%, 1.78%, and 4.78%, respectively. MDPI 2019-07-08 /pmc/articles/PMC6651882/ /pubmed/31288472 http://dx.doi.org/10.3390/s19133012 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kebede, Getnet Ayele
Ahmad, Anton Royanto
Lee, Shao-Chun
Lin, Chyi-Yeu
Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques
title Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques
title_full Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques
title_fullStr Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques
title_full_unstemmed Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques
title_short Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques
title_sort decoupled six-axis force–moment sensor with a novel strain gauge arrangement and error reduction techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651882/
https://www.ncbi.nlm.nih.gov/pubmed/31288472
http://dx.doi.org/10.3390/s19133012
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