Adaptive Torsional Vibration Control of the Nonlinear Rolling Mill Main Drive System with Performance Constraints and Sensor Errors
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Qian, Cheng | - |
dc.contributor.author | Zhang, Liuliu | - |
dc.contributor.author | Hua, Changchun | - |
dc.date.accessioned | 2021-06-16T05:40:10Z | - |
dc.date.available | 2021-06-16T05:40:10Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2021-03 | - |
dc.identifier.issn | 1598-6446 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81324 | - |
dc.description.abstract | This paper studies the torsional vibration suppression control problem for the nonlinear rolling mill main drive system with performance constraint requirements and unknown measurement sensitivities. Firstly, considering the nonlinear friction between the roll gaps, a torsional vibration model of the main drive system of rolling mill is established. Then, with the asymmetric performance constraints transformation, the motor torque control law is proposed based on backstepping algorithm. By introducing an adaptive bound estimation approach, the multiple unknown parameters caused by the sensor sensitivities can be approximated with very few adaptive laws. The dynamic surface technology is introduced to simplified the control design procedure and solve the computational explosion problem. It is strictly proved that the resulting closed-loop system is stable in the sense of uniformly ultimately boundedness and both transient and steady-state performances of the load speed are preserved. Finally, the simulation is provided to show the validity and the advantages of the proposed techniques. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | - |
dc.title | Adaptive Torsional Vibration Control of the Nonlinear Rolling Mill Main Drive System with Performance Constraints and Sensor Errors | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000599018700013 | - |
dc.identifier.doi | 10.1007/s12555-020-0092-7 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.19, no.3, pp.1264 - 1272 | - |
dc.identifier.kciid | ART002684949 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 1272 | - |
dc.citation.startPage | 1264 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | - |
dc.citation.volume | 19 | - |
dc.citation.number | 3 | - |
dc.contributor.affiliatedAuthor | Qian, Cheng | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Dynamic surface control | - |
dc.subject.keywordAuthor | nonlinear rolling mill main drive system | - |
dc.subject.keywordAuthor | performance constraints | - |
dc.subject.keywordAuthor | sensor errors | - |
dc.subject.keywordAuthor | torsional vibration suppression | - |
dc.subject.keywordPlus | NEURAL TRACKING CONTROL | - |
dc.subject.keywordPlus | STABILITY ANALYSIS | - |
dc.subject.keywordPlus | OUTPUT-FEEDBACK | - |
dc.subject.keywordPlus | PARAMETERS | - |
dc.subject.keywordPlus | OBSERVER | - |
dc.subject.keywordPlus | STRIP | - |
dc.subject.keywordPlus | STATE | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon 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.