Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/33311
Title: Instrumented electromagnetic generator: optimized performance by automatic self-adaptation of the generator structure
Author: Carneiro, Pedro M. R.
Vidal, João V.
Rolo, Pedro
Peres, Inês
Ferreira, Jorge A. F.
Kholkin, Andrei L.
Santos, Marco P. Soares dos
Keywords: Energy generation
Self-powering
Electromagnetic generator
Magnetic levitation
Adaptive generator
Resonance tuning
Issue Date: 15-May-2022
Publisher: Elsevier
Abstract: 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.
Peer review: yes
URI: http://hdl.handle.net/10773/33311
DOI: 10.1016/j.ymssp.2022.108898
ISSN: 0888-3270
Publisher Version: https://www.sciencedirect.com/science/article/pii/S0888327022000863
Appears in Collections:TEMA - Artigos
CICECO - Artigos
DFis - Artigos
DEM - Artigos
I3N-FSCOSD - Artigos

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