dc.contributor.author | Perera, Aravinda | |
dc.contributor.author | Nilsen, Roy | |
dc.date.accessioned | 2021-02-23T08:24:47Z | |
dc.date.available | 2021-02-23T08:24:47Z | |
dc.date.created | 2021-01-29T12:04:40Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-1-7281-8930-7 | |
dc.identifier.uri | https://hdl.handle.net/11250/2729650 | |
dc.description.abstract | A method for online adaptation of electric parameters of a rotating machine is proposed herein. The concept adopts the recursive prediction error method (RPEM) for parameter adaptation, that exploits the prediction-error gradient functions (Ψ T ) With the aim of setting a general framework for the cause, the method is systematically demonstrated for online identification of permanent magnet flux linkage (Ψ m ) and stator-winding resistance (R s ) of an interior permanent magnet synchronous machine (IPMSM). Additionally, an experiment to estimate R s at the start-up is presented. The gain-matrix is identified using the stochastic gradient algorithm (SGA). Simulation results validate the rapid convergence performance, adaptability and tuning flexibility of the proposed method. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartof | The 23rd International Conference on Electrical Machines and Systems | |
dc.title | A Framework and an Open-Loop Method to Identify PMSM Parameters Online | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.identifier.doi | 10.23919/ICEMS50442.2020.9291135 | |
dc.identifier.cristin | 1882267 | |
dc.description.localcode | © 2020 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. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |