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Piezoelectric micromanipulator dataset for hysteresis identification
This data in brief presents displacement measurements acquired from a piezoelectric cantilevered actuator when subjected to harmonic excitations. The micro displacements are measured with optical sensors. The dataset has been used recently for the purpose of nonlinear black-box modelling, where the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997478/ https://www.ncbi.nlm.nih.gov/pubmed/32025550 http://dx.doi.org/10.1016/j.dib.2020.105175 |
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author | Hultmann Ayala, Helon Vicente Rakotondrabe, Micky dos Santos Coelho, Leandro |
author_facet | Hultmann Ayala, Helon Vicente Rakotondrabe, Micky dos Santos Coelho, Leandro |
author_sort | Hultmann Ayala, Helon Vicente |
collection | PubMed |
description | This data in brief presents displacement measurements acquired from a piezoelectric cantilevered actuator when subjected to harmonic excitations. The micro displacements are measured with optical sensors. The dataset has been used recently for the purpose of nonlinear black-box modelling, where the hysteretic behaviour of such devices has been modelled [1,2]. We hope to enable reproducibility by sharing the data used in [1,2], which are previous works by the authors, allowing the comparison of new methods on a common basis. Additionally, researchers interested in piezoelectric actuators for high precision tasks may also benefit on working with the present dataset. |
format | Online Article Text |
id | pubmed-6997478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69974782020-02-05 Piezoelectric micromanipulator dataset for hysteresis identification Hultmann Ayala, Helon Vicente Rakotondrabe, Micky dos Santos Coelho, Leandro Data Brief Engineering This data in brief presents displacement measurements acquired from a piezoelectric cantilevered actuator when subjected to harmonic excitations. The micro displacements are measured with optical sensors. The dataset has been used recently for the purpose of nonlinear black-box modelling, where the hysteretic behaviour of such devices has been modelled [1,2]. We hope to enable reproducibility by sharing the data used in [1,2], which are previous works by the authors, allowing the comparison of new methods on a common basis. Additionally, researchers interested in piezoelectric actuators for high precision tasks may also benefit on working with the present dataset. Elsevier 2020-01-25 /pmc/articles/PMC6997478/ /pubmed/32025550 http://dx.doi.org/10.1016/j.dib.2020.105175 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Hultmann Ayala, Helon Vicente Rakotondrabe, Micky dos Santos Coelho, Leandro Piezoelectric micromanipulator dataset for hysteresis identification |
title | Piezoelectric micromanipulator dataset for hysteresis identification |
title_full | Piezoelectric micromanipulator dataset for hysteresis identification |
title_fullStr | Piezoelectric micromanipulator dataset for hysteresis identification |
title_full_unstemmed | Piezoelectric micromanipulator dataset for hysteresis identification |
title_short | Piezoelectric micromanipulator dataset for hysteresis identification |
title_sort | piezoelectric micromanipulator dataset for hysteresis identification |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997478/ https://www.ncbi.nlm.nih.gov/pubmed/32025550 http://dx.doi.org/10.1016/j.dib.2020.105175 |
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