An ultra-low-cost RCL-meter

Detalhes bibliográficos
Autor(a) principal: Inácio, Pedro
Data de Publicação: 2022
Outros Autores: Guerra, Rui, Stallinga, Peter
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/17746
Resumo: An ultra-low-cost RCL meter, aimed at IoT applications, was developed, and was used to measure electrical components based on standard techniques without the need of additional electronics beyond the AVR<sup>®</sup> micro-controller hardware itself and high-level routines. The models and pseudo-routines required to measure admittance parameters are described, and a benchmark between the ATmega328P and ATmega32U4 AVR<sup>®</sup> micro-controllers was performed to validate the resistance and capacitance measurements. Both ATmega328P and ATmega32U4 micro-controllers could measure isolated resistances from 0.5 Ω to 80 MΩ and capacitances from 100 fF to 4.7 mF. Inductance measurements are estimated at between 0.2 mH to 1.5 H. The accuracy and range of the measurements of series and parallel RC networks are demonstrated. The relative accuracy (<i>a</i><sub>r</sub>) and relative precision (<i>p</i><sub>r</sub>) of the measurements were quantified. For the resistance measurements, typically <i>a</i><sub>r</sub>, <i>p</i><sub>r</sub> < 10% in the interval 100 Ω–100 MΩ. For the capacitance, measured in one of the modes (fast mode), <i>a</i><sub>r</sub> < 20% and <i>p</i><sub>r</sub> < 5% in the range 100 fF–10 nF, while for the other mode (transient mode), typically <i>a</i><sub>r</sub> < 20% in the range 10 nF–10 mF and <i>p</i><sub>r</sub> < 5% for 100 pF–10 mF. <i>a</i><sub>r</sub> falls below 5% in some sub-ranges. The combination of the two capacitance modes allows for measurements in the range 100 fF–10 mF (11 orders of magnitude) with <i>a</i><sub>r</sub> < 20%. Possible applications include the sensing of impedimetric sensor arrays targeted for wearable and in-body bioelectronics, smart agriculture, and smart cities, while complying with small form factor and low cost.
id RCAP_e829a27338b8c94e770d4aae46dd0687
oai_identifier_str oai:sapientia.ualg.pt:10400.1/17746
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling An ultra-low-cost RCL-meterImpedance meterRCL-bridgesPortable instrumentAVR® micro-controllerLow-costInternet of thingsAn ultra-low-cost RCL meter, aimed at IoT applications, was developed, and was used to measure electrical components based on standard techniques without the need of additional electronics beyond the AVR<sup>®</sup> micro-controller hardware itself and high-level routines. The models and pseudo-routines required to measure admittance parameters are described, and a benchmark between the ATmega328P and ATmega32U4 AVR<sup>®</sup> micro-controllers was performed to validate the resistance and capacitance measurements. Both ATmega328P and ATmega32U4 micro-controllers could measure isolated resistances from 0.5 Ω to 80 MΩ and capacitances from 100 fF to 4.7 mF. Inductance measurements are estimated at between 0.2 mH to 1.5 H. The accuracy and range of the measurements of series and parallel RC networks are demonstrated. The relative accuracy (<i>a</i><sub>r</sub>) and relative precision (<i>p</i><sub>r</sub>) of the measurements were quantified. For the resistance measurements, typically <i>a</i><sub>r</sub>, <i>p</i><sub>r</sub> < 10% in the interval 100 Ω–100 MΩ. For the capacitance, measured in one of the modes (fast mode), <i>a</i><sub>r</sub> < 20% and <i>p</i><sub>r</sub> < 5% in the range 100 fF–10 nF, while for the other mode (transient mode), typically <i>a</i><sub>r</sub> < 20% in the range 10 nF–10 mF and <i>p</i><sub>r</sub> < 5% for 100 pF–10 mF. <i>a</i><sub>r</sub> falls below 5% in some sub-ranges. The combination of the two capacitance modes allows for measurements in the range 100 fF–10 mF (11 orders of magnitude) with <i>a</i><sub>r</sub> < 20%. Possible applications include the sensing of impedimetric sensor arrays targeted for wearable and in-body bioelectronics, smart agriculture, and smart cities, while complying with small form factor and low cost.ALG-01-0247-FEDER-037303MDPISapientiaInácio, PedroGuerra, RuiStallinga, Peter2022-04-01T10:19:35Z2022-03-142022-03-24T14:47:41Z2022-03-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/17746engSensors 22 (6): 2227 (2022)1424-822010.3390/s22062227info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-13T02:07:18Zoai:sapientia.ualg.pt:10400.1/17746Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:07:37.151326Repositório 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 An ultra-low-cost RCL-meter
title An ultra-low-cost RCL-meter
spellingShingle An ultra-low-cost RCL-meter
Inácio, Pedro
Impedance meter
RCL-bridges
Portable instrument
AVR® micro-controller
Low-cost
Internet of things
title_short An ultra-low-cost RCL-meter
title_full An ultra-low-cost RCL-meter
title_fullStr An ultra-low-cost RCL-meter
title_full_unstemmed An ultra-low-cost RCL-meter
title_sort An ultra-low-cost RCL-meter
author Inácio, Pedro
author_facet Inácio, Pedro
Guerra, Rui
Stallinga, Peter
author_role author
author2 Guerra, Rui
Stallinga, Peter
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Inácio, Pedro
Guerra, Rui
Stallinga, Peter
dc.subject.por.fl_str_mv Impedance meter
RCL-bridges
Portable instrument
AVR® micro-controller
Low-cost
Internet of things
topic Impedance meter
RCL-bridges
Portable instrument
AVR® micro-controller
Low-cost
Internet of things
description An ultra-low-cost RCL meter, aimed at IoT applications, was developed, and was used to measure electrical components based on standard techniques without the need of additional electronics beyond the AVR<sup>®</sup> micro-controller hardware itself and high-level routines. The models and pseudo-routines required to measure admittance parameters are described, and a benchmark between the ATmega328P and ATmega32U4 AVR<sup>®</sup> micro-controllers was performed to validate the resistance and capacitance measurements. Both ATmega328P and ATmega32U4 micro-controllers could measure isolated resistances from 0.5 Ω to 80 MΩ and capacitances from 100 fF to 4.7 mF. Inductance measurements are estimated at between 0.2 mH to 1.5 H. The accuracy and range of the measurements of series and parallel RC networks are demonstrated. The relative accuracy (<i>a</i><sub>r</sub>) and relative precision (<i>p</i><sub>r</sub>) of the measurements were quantified. For the resistance measurements, typically <i>a</i><sub>r</sub>, <i>p</i><sub>r</sub> < 10% in the interval 100 Ω–100 MΩ. For the capacitance, measured in one of the modes (fast mode), <i>a</i><sub>r</sub> < 20% and <i>p</i><sub>r</sub> < 5% in the range 100 fF–10 nF, while for the other mode (transient mode), typically <i>a</i><sub>r</sub> < 20% in the range 10 nF–10 mF and <i>p</i><sub>r</sub> < 5% for 100 pF–10 mF. <i>a</i><sub>r</sub> falls below 5% in some sub-ranges. The combination of the two capacitance modes allows for measurements in the range 100 fF–10 mF (11 orders of magnitude) with <i>a</i><sub>r</sub> < 20%. Possible applications include the sensing of impedimetric sensor arrays targeted for wearable and in-body bioelectronics, smart agriculture, and smart cities, while complying with small form factor and low cost.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-01T10:19:35Z
2022-03-14
2022-03-24T14:47:41Z
2022-03-14T00:00:00Z
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/10400.1/17746
url http://hdl.handle.net/10400.1/17746
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sensors 22 (6): 2227 (2022)
1424-8220
10.3390/s22062227
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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_ 1799133321644474368