On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices

Autores
Monte, Gustavo; Marasco, Damian; Garcia, Andes; Perotti, Emanuel
Año de publicación
2018
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a low power DC-DC buckboost topology functioning battery-less on the basis of a novel technique using a combination of both: singular optimal control plus an analog circuit control law. The very low power consumptions along with the optimal energy harvested, makes possible to perform FFT calculations on-line and on-chip for vibration analysis applied to wind-turbines maintenance operation using an ST microcontroller and transmitting up to 500 m. The complete functioning circuit is shown along with real measurements.
Fil: Monte, Gustavo . Universidad Tecnológica Nacional. Facultad Regional Del Neuquen; Argentina.
Fil: Marasco Damian. Universidad Tecnológica Nacional. Facultad Regional Del Neuquen; Argentina.
Fil: Garcia, Andres. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
Fil: Perotti, Emanuel. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
Peer Reviewed
Materia
Spectral analysis, Microcontroler, Optimal control, Low power, Analog Devices.
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2023-06-22T12:55:56Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/8085
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devicesMonte, GustavoMarasco, DamianGarcia, AndesPerotti, EmanuelSpectral analysis, Microcontroler, Optimal control, Low power, Analog Devices.This paper presents a low power DC-DC buckboost topology functioning battery-less on the basis of a novel technique using a combination of both: singular optimal control plus an analog circuit control law. The very low power consumptions along with the optimal energy harvested, makes possible to perform FFT calculations on-line and on-chip for vibration analysis applied to wind-turbines maintenance operation using an ST microcontroller and transmitting up to 500 m. The complete functioning circuit is shown along with real measurements.Fil: Monte, Gustavo . Universidad Tecnológica Nacional. Facultad Regional Del Neuquen; Argentina.Fil: Marasco Damian. Universidad Tecnológica Nacional. Facultad Regional Del Neuquen; Argentina.Fil: Garcia, Andres. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.Fil: Perotti, Emanuel. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.Peer Reviewed2023-06-22T12:55:56Z2023-06-22T12:55:56Z2018-10-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfhttp://hdl.handle.net/20.500.12272/808510.1109spainfo:eu-repo/semantics/openAccess2023-06-22T12:55:56Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalCreative Commosreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-10-01T11:58:35Zoai:ria.utn.edu.ar:20.500.12272/8085instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-10-01 11:58:36.193Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
title On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
spellingShingle On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
Monte, Gustavo
Spectral analysis, Microcontroler, Optimal control, Low power, Analog Devices.
title_short On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
title_full On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
title_fullStr On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
title_full_unstemmed On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
title_sort On-chip spectral analysis with low power and optimal Control for energy harvesting using piezoelectric devices
dc.creator.none.fl_str_mv Monte, Gustavo
Marasco, Damian
Garcia, Andes
Perotti, Emanuel
author Monte, Gustavo
author_facet Monte, Gustavo
Marasco, Damian
Garcia, Andes
Perotti, Emanuel
author_role author
author2 Marasco, Damian
Garcia, Andes
Perotti, Emanuel
author2_role author
author
author
dc.subject.none.fl_str_mv Spectral analysis, Microcontroler, Optimal control, Low power, Analog Devices.
topic Spectral analysis, Microcontroler, Optimal control, Low power, Analog Devices.
dc.description.none.fl_txt_mv This paper presents a low power DC-DC buckboost topology functioning battery-less on the basis of a novel technique using a combination of both: singular optimal control plus an analog circuit control law. The very low power consumptions along with the optimal energy harvested, makes possible to perform FFT calculations on-line and on-chip for vibration analysis applied to wind-turbines maintenance operation using an ST microcontroller and transmitting up to 500 m. The complete functioning circuit is shown along with real measurements.
Fil: Monte, Gustavo . Universidad Tecnológica Nacional. Facultad Regional Del Neuquen; Argentina.
Fil: Marasco Damian. Universidad Tecnológica Nacional. Facultad Regional Del Neuquen; Argentina.
Fil: Garcia, Andres. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
Fil: Perotti, Emanuel. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina.
Peer Reviewed
description This paper presents a low power DC-DC buckboost topology functioning battery-less on the basis of a novel technique using a combination of both: singular optimal control plus an analog circuit control law. The very low power consumptions along with the optimal energy harvested, makes possible to perform FFT calculations on-line and on-chip for vibration analysis applied to wind-turbines maintenance operation using an ST microcontroller and transmitting up to 500 m. The complete functioning circuit is shown along with real measurements.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-22
2023-06-22T12:55:56Z
2023-06-22T12:55:56Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12272/8085
10.1109
url http://hdl.handle.net/20.500.12272/8085
identifier_str_mv 10.1109
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2023-06-22T12:55:56Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Creative Commos
eu_rights_str_mv openAccess
rights_invalid_str_mv 2023-06-22T12:55:56Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Creative Commos
dc.format.none.fl_str_mv pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.365483

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