Position Estimation of Stepping Motor Using Adaptive Gain Super Twisting Algorithm Sliding Mode Observer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Son, Hyun Uk | - |
dc.contributor.author | Jeong, Yong Woo | - |
dc.contributor.author | Chung, Chung Choo | - |
dc.date.accessioned | 2022-07-06T10:53:38Z | - |
dc.date.available | 2022-07-06T10:53:38Z | - |
dc.date.created | 2022-03-07 | - |
dc.date.issued | 2021-12 | - |
dc.identifier.issn | 2093-7121 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140053 | - |
dc.description.abstract | This paper presents an Adaptive Gain Super Twisting Sliding Mode Observer (AGSTA-SMO) for a permanent magnet stepping motor as position. Since the proposed algorithm has a different structure with the Super Twisting Algorithm Sliding Mode Observer (STA-SMO), the AGSTA-SMO ensures a global, finite-time convergence even with the unknown, bounded perturbations/uncertainties. With the experimental validation, we show that the position estimation performance of AGSTA-SMO outperforms comparing to the position estimation result of STA-SMO. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Position Estimation of Stepping Motor Using Adaptive Gain Super Twisting Algorithm Sliding Mode Observer | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Chung Choo | - |
dc.identifier.doi | 10.23919/ICCAS52745.2021.9649788 | - |
dc.identifier.scopusid | 2-s2.0-85123546981 | - |
dc.identifier.wosid | 000750950700077 | - |
dc.identifier.bibliographicCitation | 2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021), v.2021-Octob, pp.566 - 570 | - |
dc.relation.isPartOf | 2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021) | - |
dc.citation.title | 2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021) | - |
dc.citation.volume | 2021-Octob | - |
dc.citation.startPage | 566 | - |
dc.citation.endPage | 570 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.subject.keywordPlus | Permanent magnets | - |
dc.subject.keywordPlus | Stepping motors | - |
dc.subject.keywordPlus | Adaptive gain | - |
dc.subject.keywordPlus | Different structure | - |
dc.subject.keywordPlus | Finite-time convergence | - |
dc.subject.keywordPlus | Permanent magnet stepping motors | - |
dc.subject.keywordPlus | Position estimation | - |
dc.subject.keywordPlus | Sliding-mode observer | - |
dc.subject.keywordPlus | Super twisting algorithm | - |
dc.subject.keywordPlus | Super- twisting | - |
dc.subject.keywordPlus | Uncertainty | - |
dc.subject.keywordPlus | Unknown bounded perturbation | - |
dc.subject.keywordPlus | Sliding mode control | - |
dc.subject.keywordAuthor | Position Estimation | - |
dc.subject.keywordAuthor | Sliding Mode Observer | - |
dc.subject.keywordAuthor | Adaptive gain | - |
dc.subject.keywordAuthor | Permanent Magnet Stepping Motor | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9649788 | - |
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