Sensorless non-linear position-stabilising control for magnetic levitation systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Seok-Kyoon | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.date.accessioned | 2021-08-30T07:53:56Z | - |
dc.date.available | 2021-08-30T07:53:56Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-11-26 | - |
dc.identifier.issn | 1751-8644 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/51445 | - |
dc.description.abstract | This study presents a solution to the position stabilisation problem for non-linear magnetic levitation systems using the only position measurement. This considers parameter and load variations without the use of current and velocity feedback. The features are given as follows: (i) the removal of current and velocity feedback by the proposed first-order state estimators without system parameters, (ii) securing of improved closed-loop robustness from the combination of active damping and specified feedback gain with the closed-loop system order reduced to 1 and (iii) proof of performance recovery and offset-free in the absence of regulation error integral actions. The numerical simulations verify the performance and robustness improvements through realistic scenarios. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
dc.subject | CONTROL DESIGN | - |
dc.subject | MAGLEV SYSTEM | - |
dc.title | Sensorless non-linear position-stabilising control for magnetic levitation systems | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1049/iet-cta.2020.0295 | - |
dc.identifier.scopusid | 2-s2.0-85095863308 | - |
dc.identifier.wosid | 000591721500022 | - |
dc.identifier.bibliographicCitation | IET CONTROL THEORY AND APPLICATIONS, v.14, no.17, pp.2682 - 2687 | - |
dc.relation.isPartOf | IET CONTROL THEORY AND APPLICATIONS | - |
dc.citation.title | IET CONTROL THEORY AND APPLICATIONS | - |
dc.citation.volume | 14 | - |
dc.citation.number | 17 | - |
dc.citation.startPage | 2682 | - |
dc.citation.endPage | 2687 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | CONTROL DESIGN | - |
dc.subject.keywordPlus | MAGLEV SYSTEM | - |
dc.subject.keywordAuthor | nonlinear control systems | - |
dc.subject.keywordAuthor | control system synthesis | - |
dc.subject.keywordAuthor | closed loop systems | - |
dc.subject.keywordAuthor | feedback | - |
dc.subject.keywordAuthor | robust control | - |
dc.subject.keywordAuthor | state estimation | - |
dc.subject.keywordAuthor | position control | - |
dc.subject.keywordAuthor | damping | - |
dc.subject.keywordAuthor | magnetic levitation | - |
dc.subject.keywordAuthor | sensorless nonlinear position-stabilising control | - |
dc.subject.keywordAuthor | nonlinear magnetic levitation systems | - |
dc.subject.keywordAuthor | position measurement | - |
dc.subject.keywordAuthor | regulation error integral actions | - |
dc.subject.keywordAuthor | closed-loop system order | - |
dc.subject.keywordAuthor | feedback gain | - |
dc.subject.keywordAuthor | closed-loop robustness | - |
dc.subject.keywordAuthor | first-order state estimators | - |
dc.subject.keywordAuthor | load variations | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.