Capacitance Online Estimation Based on Adaptive Model Observer

<p dir="ltr">As a basic component in electrical and electronic devices, capacitors are very popular in electrical circuits. Conventional capacitors such as electrotype capacitors are easy to degradation, aging and fatigue due to long‐time running and outer damages such as mechanical...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Zhaohui Cen (17217391) (author)
منشور في: 2016
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author Zhaohui Cen (17217391)
author_facet Zhaohui Cen (17217391)
author_role author
dc.creator.none.fl_str_mv Zhaohui Cen (17217391)
dc.date.none.fl_str_mv 2016-10-03T03:00:00Z
dc.identifier.none.fl_str_mv 10.1051/matecconf/20167702006
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Capacitance_Online_Estimation_Based_on_Adaptive_Model_Observer/27094513
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Electrical engineering
Electronics, sensors and digital hardware
Capacitors
Electrical circuits
Adaptive Model Observer (AMO)
Circuit equations
Buck converter topology
Stability and convergence analysis
dc.title.none.fl_str_mv Capacitance Online Estimation Based on Adaptive Model Observer
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">As a basic component in electrical and electronic devices, capacitors are very popular in electrical circuits. Conventional capacitors such as electrotype capacitors are easy to degradation, aging and fatigue due to long‐time running and outer damages such as mechanical and electrical stresses. In this paper, a novel online capacitance measurement/estimation approach is proposed. Firstly, an Adaptive Model Observer (AMO) is designed based on the capacitor's circuit equations. Secondly, the AMO’s stability and convergence are analysed and discussed. Finally, Capacitors with different capacitance and different initial voltages in a buck converter topology are tested and validated. Simulation results demonstrate the effectiveness and superiority of our proposed approach.</p><h2>Other Information</h2><p dir="ltr">Published in: MATEC Web of Conferences<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" rel="noreferrer noopener" target="_blank">https://creativecommons.org/licenses/by/4.0/</a>  <br>See article on publisher's website: <a href="https://dx.doi.org/10.1051/matecconf/20167702006" target="_blank">https://dx.doi.org/10.1051/matecconf/20167702006</a></p>
eu_rights_str_mv openAccess
id Manara2_34e54d4da3d7fb2cf1a39d4bb58132ef
identifier_str_mv 10.1051/matecconf/20167702006
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/27094513
publishDate 2016
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Capacitance Online Estimation Based on Adaptive Model ObserverZhaohui Cen (17217391)EngineeringElectrical engineeringElectronics, sensors and digital hardwareCapacitorsElectrical circuitsAdaptive Model Observer (AMO)Circuit equationsBuck converter topologyStability and convergence analysis<p dir="ltr">As a basic component in electrical and electronic devices, capacitors are very popular in electrical circuits. Conventional capacitors such as electrotype capacitors are easy to degradation, aging and fatigue due to long‐time running and outer damages such as mechanical and electrical stresses. In this paper, a novel online capacitance measurement/estimation approach is proposed. Firstly, an Adaptive Model Observer (AMO) is designed based on the capacitor's circuit equations. Secondly, the AMO’s stability and convergence are analysed and discussed. Finally, Capacitors with different capacitance and different initial voltages in a buck converter topology are tested and validated. Simulation results demonstrate the effectiveness and superiority of our proposed approach.</p><h2>Other Information</h2><p dir="ltr">Published in: MATEC Web of Conferences<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" rel="noreferrer noopener" target="_blank">https://creativecommons.org/licenses/by/4.0/</a>  <br>See article on publisher's website: <a href="https://dx.doi.org/10.1051/matecconf/20167702006" target="_blank">https://dx.doi.org/10.1051/matecconf/20167702006</a></p>2016-10-03T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1051/matecconf/20167702006https://figshare.com/articles/journal_contribution/Capacitance_Online_Estimation_Based_on_Adaptive_Model_Observer/27094513CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/270945132016-10-03T03:00:00Z
spellingShingle Capacitance Online Estimation Based on Adaptive Model Observer
Zhaohui Cen (17217391)
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Capacitors
Electrical circuits
Adaptive Model Observer (AMO)
Circuit equations
Buck converter topology
Stability and convergence analysis
status_str publishedVersion
title Capacitance Online Estimation Based on Adaptive Model Observer
title_full Capacitance Online Estimation Based on Adaptive Model Observer
title_fullStr Capacitance Online Estimation Based on Adaptive Model Observer
title_full_unstemmed Capacitance Online Estimation Based on Adaptive Model Observer
title_short Capacitance Online Estimation Based on Adaptive Model Observer
title_sort Capacitance Online Estimation Based on Adaptive Model Observer
topic Engineering
Electrical engineering
Electronics, sensors and digital hardware
Capacitors
Electrical circuits
Adaptive Model Observer (AMO)
Circuit equations
Buck converter topology
Stability and convergence analysis