Cargando…

Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor

This paper presents an EMD (empirical mode decomposition)-based extraction approach to decouple the electric field fringe component impacts on the nonlinearity errors of a micro encoder-like capacitive displacement sensor. A calculated capacitance model built under Maxwell’s equations against the im...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Jian-Ping, Du, Hui-Lin, Li, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187548/
https://www.ncbi.nlm.nih.gov/pubmed/30424144
http://dx.doi.org/10.3390/mi9050211
_version_ 1783363045473386496
author Yu, Jian-Ping
Du, Hui-Lin
Li, Xin
author_facet Yu, Jian-Ping
Du, Hui-Lin
Li, Xin
author_sort Yu, Jian-Ping
collection PubMed
description This paper presents an EMD (empirical mode decomposition)-based extraction approach to decouple the electric field fringe component impacts on the nonlinearity errors of a micro encoder-like capacitive displacement sensor. A calculated capacitance model built under Maxwell’s equations against the impacts of electric field fringe component indicates that signals of this sensor are all in periodic co-sinusoidal waveforms. Applying the proposed EMD scheme, signals are decomposed into sets of intrinsic mode functions (IMFs) and a residual, in which a fundamental component represents all the features of sensor signal and reserves the local information. Interpreting sensor information from the extracted component instead of the original signal drastically diminishes the impacts of electric field fringe effect. Results from a test bench shows that after applying the EMD-based extraction approach, waveform errors were decreased from over 4.18% to less than 0.89%. Nonlinearity of the interpreted displacement was decreased from 1.54% to 0.29% for 8 mm stroke.
format Online
Article
Text
id pubmed-6187548
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61875482018-11-01 Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor Yu, Jian-Ping Du, Hui-Lin Li, Xin Micromachines (Basel) Article This paper presents an EMD (empirical mode decomposition)-based extraction approach to decouple the electric field fringe component impacts on the nonlinearity errors of a micro encoder-like capacitive displacement sensor. A calculated capacitance model built under Maxwell’s equations against the impacts of electric field fringe component indicates that signals of this sensor are all in periodic co-sinusoidal waveforms. Applying the proposed EMD scheme, signals are decomposed into sets of intrinsic mode functions (IMFs) and a residual, in which a fundamental component represents all the features of sensor signal and reserves the local information. Interpreting sensor information from the extracted component instead of the original signal drastically diminishes the impacts of electric field fringe effect. Results from a test bench shows that after applying the EMD-based extraction approach, waveform errors were decreased from over 4.18% to less than 0.89%. Nonlinearity of the interpreted displacement was decreased from 1.54% to 0.29% for 8 mm stroke. MDPI 2018-05-01 /pmc/articles/PMC6187548/ /pubmed/30424144 http://dx.doi.org/10.3390/mi9050211 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Jian-Ping
Du, Hui-Lin
Li, Xin
Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor
title Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor
title_full Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor
title_fullStr Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor
title_full_unstemmed Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor
title_short Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor
title_sort novel emd-based extraction approach of electric field fringe impacts on a micro capacitive displacement sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187548/
https://www.ncbi.nlm.nih.gov/pubmed/30424144
http://dx.doi.org/10.3390/mi9050211
work_keys_str_mv AT yujianping novelemdbasedextractionapproachofelectricfieldfringeimpactsonamicrocapacitivedisplacementsensor
AT duhuilin novelemdbasedextractionapproachofelectricfieldfringeimpactsonamicrocapacitivedisplacementsensor
AT lixin novelemdbasedextractionapproachofelectricfieldfringeimpactsonamicrocapacitivedisplacementsensor