dc.contributor.author | Alves, Erick Fernando | |
dc.contributor.author | Nøland, Jonas Kristiansen | |
dc.contributor.author | Marafioti, Giancarlo | |
dc.contributor.author | Mathisen, Geir | |
dc.date.accessioned | 2019-12-17T10:43:33Z | |
dc.date.available | 2019-12-17T10:43:33Z | |
dc.date.created | 2019-12-10T13:04:05Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-7281-4878-6 | |
dc.identifier.uri | http://hdl.handle.net/11250/2633589 | |
dc.description.abstract | This paper investigates and implements a procedure for parameter identification of salient pole synchronous machines that is based on previous knowledge about the equipment and can be used for condition monitoring, online assessment of the electrical power grid, and adaptive control. It uses a Kalman filter to handle noise and correct deviations in measurements caused by uncertainty of instruments or effects not included in the model. Then it applies a recursive least squares algorithm to identify parameters from the synchronous machine model. Despite being affected by saturation effects, the proposed procedure estimates 8 out of 13 parameters from the machine model with minor deviations from data sheet values and is largely insensitive to noise and load conditions. | nb_NO |
dc.description.abstract | Online parameter identification of synchronous machines using Kalman filter and recursive least squares | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | Proceeding 45th Annual Conference of the IEEE Industrial Electronics Society - IECON 2019 | |
dc.relation.uri | https://ieeexplore.ieee.org/document/8926707 | |
dc.subject | Elektriske maskiner | nb_NO |
dc.subject | Electrical Machines | nb_NO |
dc.subject | Parameterestimering | nb_NO |
dc.subject | Parameter estimation | nb_NO |
dc.title | Online parameter identification of synchronous machines using Kalman filter and recursive least squares | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.subject.nsi | VDP::Teknisk kybernetikk: 553 | nb_NO |
dc.subject.nsi | VDP::Technical cybernetics: 553 | nb_NO |
dc.source.pagenumber | 7121-7128 | nb_NO |
dc.identifier.doi | 10.1109/IECON.2019.8926707 | |
dc.identifier.cristin | 1758837 | |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,20,0 | |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for elkraftteknikk | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |