Vasyl Varvolik
Fast Experimental Magnetic Model Identification for Synchronous Reluctance Motor Drives
Varvolik, Vasyl; Wang, Shuo; Prystupa, Dmytro; Buticchi, Giampaolo; Peresada, Sergei; Galea, Michael; Bozh, Serhiy
Authors
Shuo Wang
Dmytro Prystupa
Giampaolo Buticchi
Sergei Peresada
Michael Galea
Professor SERHIY BOZHKO serhiy.bozhko@nottingham.ac.uk
PROFESSOR OF AIRCRAFT ELECTRIC POWER SYSTEMS
Abstract
The accurate magnetic model is mandatory for high-performance control of high anisotropy synchronous machines. This paper presents a time-efficient and accurate magnetic model identification based on triangle current injection while the machine under the test is driven at a constant speed by a prime mover. The current injection pattern allows scanning the whole range of current, reducing the identification time compared to the standard constant-speed method (CSM) with the same level of accuracy. The ohmic voltage drop and inverter nonlinearities are compensated by using the average voltage of motor and generator modes. The synchronous reluctance machine is used as a case study for validation through the comparison between the experimental results obtained by the proposed method and the CSM against finite element simulation. Moreover, the temperature variation of the machine winding is measured showing no considerable changes during the identification test.
Citation
Varvolik, V., Wang, S., Prystupa, D., Buticchi, G., Peresada, S., Galea, M., & Bozh, S. (2022). Fast Experimental Magnetic Model Identification for Synchronous Reluctance Motor Drives. Energies, 15(6), Article 2207. https://doi.org/10.3390/en15062207
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 25, 2022 |
Online Publication Date | Mar 17, 2022 |
Publication Date | Mar 17, 2022 |
Deposit Date | Jan 22, 2025 |
Publicly Available Date | Jan 27, 2025 |
Journal | Energies |
Electronic ISSN | 1996-1073 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 15 |
Issue | 6 |
Article Number | 2207 |
DOI | https://doi.org/10.3390/en15062207 |
Public URL | https://nottingham-repository.worktribe.com/output/7655353 |
Publisher URL | https://www.mdpi.com/1996-1073/15/6/2207 |
Files
Energies-15-02207
(12 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
High-Fidelity Model Identification for Synchronous Reluctance Motor Drives
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search