Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hultmann Ayala, Helon Vicente, Rakotondrabe, Micky, dos Santos Coelho, Leandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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
_version_ 1783493707726585856
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
work_keys_str_mv AT hultmannayalahelonvicente piezoelectricmicromanipulatordatasetforhysteresisidentification
AT rakotondrabemicky piezoelectricmicromanipulatordatasetforhysteresisidentification
AT dossantoscoelholeandro piezoelectricmicromanipulatordatasetforhysteresisidentification