Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/33311 |
Resumo: | Electromagnetic generators are widely used to power both small-scale and large-scale devices. They are suitable to operate as self-powering technologies, allowing customizable upscaling and downscaling, ensuring low production and maintenance costs, and even able to integrate into hybrid solutions. As their architectures are well-suited to power a broad range of multifunctional devices, their performance optimization is a research topic of utmost importance. Their performance, strongly dependent on the frequency and amplitude of mechanical excitations and hysteretic behaviors, still needs to be improved. In this paper, a theoretical and experimental study is provided to demonstrate the effectiveness of a new concept of self-adaptive electromagnetic generator. An instrumented generator using a magnetic levitation architecture was implemented using a stepper motor, an accelerometer and a processing system. Self-adaptability was realized by changing the generator’s effective length and resonance frequency as a function of the mechanical excitation characteristics. Considering the power consumption of instrumentation, output power gains around 30% were achieved under conditions of harmonic inputs with time changing frequencies and amplitudes. These are very promising results that highlight the potential of self-adaptive energy harvesting technologies for opening new research directions towards the emerging of a new line of highly sophisticated autonomous generators. |
id |
RCAP_de88b67454a3be202d52348c13508da8 |
---|---|
oai_identifier_str |
oai:ria.ua.pt:10773/33311 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structureEnergy generationSelf-poweringElectromagnetic generatorMagnetic levitationAdaptive generatorResonance tuningElectromagnetic generators are widely used to power both small-scale and large-scale devices. They are suitable to operate as self-powering technologies, allowing customizable upscaling and downscaling, ensuring low production and maintenance costs, and even able to integrate into hybrid solutions. As their architectures are well-suited to power a broad range of multifunctional devices, their performance optimization is a research topic of utmost importance. Their performance, strongly dependent on the frequency and amplitude of mechanical excitations and hysteretic behaviors, still needs to be improved. In this paper, a theoretical and experimental study is provided to demonstrate the effectiveness of a new concept of self-adaptive electromagnetic generator. An instrumented generator using a magnetic levitation architecture was implemented using a stepper motor, an accelerometer and a processing system. Self-adaptability was realized by changing the generator’s effective length and resonance frequency as a function of the mechanical excitation characteristics. Considering the power consumption of instrumentation, output power gains around 30% were achieved under conditions of harmonic inputs with time changing frequencies and amplitudes. These are very promising results that highlight the potential of self-adaptive energy harvesting technologies for opening new research directions towards the emerging of a new line of highly sophisticated autonomous generators.Elsevier2024-05-15T00:00:00Z2022-05-15T00:00:00Z2022-05-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/33311eng0888-327010.1016/j.ymssp.2022.108898Carneiro, Pedro M. R.Vidal, João V.Rolo, PedroPeres, InêsFerreira, Jorge A. F.Kholkin, Andrei L.Santos, Marco P. Soares dosinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:03:58Zoai:ria.ua.pt:10773/33311Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:04:43.116064Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure |
title |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure |
spellingShingle |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure Carneiro, Pedro M. R. Energy generation Self-powering Electromagnetic generator Magnetic levitation Adaptive generator Resonance tuning |
title_short |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure |
title_full |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure |
title_fullStr |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure |
title_full_unstemmed |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure |
title_sort |
Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure |
author |
Carneiro, Pedro M. R. |
author_facet |
Carneiro, Pedro M. R. Vidal, João V. Rolo, Pedro Peres, Inês Ferreira, Jorge A. F. Kholkin, Andrei L. Santos, Marco P. Soares dos |
author_role |
author |
author2 |
Vidal, João V. Rolo, Pedro Peres, Inês Ferreira, Jorge A. F. Kholkin, Andrei L. Santos, Marco P. Soares dos |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Carneiro, Pedro M. R. Vidal, João V. Rolo, Pedro Peres, Inês Ferreira, Jorge A. F. Kholkin, Andrei L. Santos, Marco P. Soares dos |
dc.subject.por.fl_str_mv |
Energy generation Self-powering Electromagnetic generator Magnetic levitation Adaptive generator Resonance tuning |
topic |
Energy generation Self-powering Electromagnetic generator Magnetic levitation Adaptive generator Resonance tuning |
description |
Electromagnetic generators are widely used to power both small-scale and large-scale devices. They are suitable to operate as self-powering technologies, allowing customizable upscaling and downscaling, ensuring low production and maintenance costs, and even able to integrate into hybrid solutions. As their architectures are well-suited to power a broad range of multifunctional devices, their performance optimization is a research topic of utmost importance. Their performance, strongly dependent on the frequency and amplitude of mechanical excitations and hysteretic behaviors, still needs to be improved. In this paper, a theoretical and experimental study is provided to demonstrate the effectiveness of a new concept of self-adaptive electromagnetic generator. An instrumented generator using a magnetic levitation architecture was implemented using a stepper motor, an accelerometer and a processing system. Self-adaptability was realized by changing the generator’s effective length and resonance frequency as a function of the mechanical excitation characteristics. Considering the power consumption of instrumentation, output power gains around 30% were achieved under conditions of harmonic inputs with time changing frequencies and amplitudes. These are very promising results that highlight the potential of self-adaptive energy harvesting technologies for opening new research directions towards the emerging of a new line of highly sophisticated autonomous generators. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-15T00:00:00Z 2022-05-15 2024-05-15T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/33311 |
url |
http://hdl.handle.net/10773/33311 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0888-3270 10.1016/j.ymssp.2022.108898 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137702583468032 |