Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure

Detalhes bibliográficos
Autor(a) principal: Carneiro, Pedro M. R.
Data de Publicação: 2022
Outros Autores: Vidal, João V., Rolo, Pedro, Peres, Inês, Ferreira, Jorge A. F., Kholkin, Andrei L., Santos, Marco P. Soares dos
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.
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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
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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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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