Shuo Wang
Automated Maximum Torque per Ampere Identification for Synchronous Reluctance Machines with Limited Flux Linkage Information
Wang, Shuo; Varvolik, Vasyl; Bao, Yuli; Aboelhassan, Ahmed; Degano, Michele; Buticchi, Giampaolo; Zhang, He
Authors
Vasyl Varvolik
Yuli Bao
Ahmed Aboelhassan
Professor MICHELE DEGANO Michele.Degano@nottingham.ac.uk
PROFESSOR OF ADVANCED ELECTRICAL MACHINES
Giampaolo Buticchi
He Zhang
Contributors
Sorin Enache
Editor
Petre-Marian Nicolae
Editor
Abstract
The synchronous reluctance machine is well-known for its highly nonlinear magnetic saturation and cross-saturation characteristics. For high performance and high-efficiency control, the flux-linkage maps and maximum torque per ampere table are of paramount importance. This study proposes a novel automated online searching method for obtaining accurate flux-linkage and maximum torque per ampere Identification. A limited 6 × 2 dq-axis flux-linkage look-up table is acquired by applying symmetric triangle pulses during the self-commissioning stage. Then, three three-dimensional modified linear cubic spline interpolation methods are applied to extend the flux-linkage map. The proposed golden section searching method can be easily implemented to realize higher maximum torque per ampere accuracy after 11 iterations with a standard drive, which is a proven faster solution with reduced memory sources occupied. The proposed algorithm is verified and tested on a 15-kW SynRM drive. Furthermore, the iterative and execution times are evaluated.
Citation
Wang, S., Varvolik, V., Bao, Y., Aboelhassan, A., Degano, M., Buticchi, G., & Zhang, H. (2024). Automated Maximum Torque per Ampere Identification for Synchronous Reluctance Machines with Limited Flux Linkage Information. Machines, 12(2), Article 96. https://doi.org/10.3390/machines12020096
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 20, 2023 |
Online Publication Date | Jan 29, 2024 |
Publication Date | 2024-02 |
Deposit Date | May 10, 2024 |
Publicly Available Date | May 10, 2024 |
Journal | Machines |
Electronic ISSN | 2075-1702 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 2 |
Article Number | 96 |
DOI | https://doi.org/10.3390/machines12020096 |
Keywords | synchronous reluctance motors, golden section searching method, magnetic saturation, flux-linkage map, three-dimensional modified linear cubic spline interpolation method, maximum torque per ampere |
Public URL | https://nottingham-repository.worktribe.com/output/31434707 |
Files
machines-12-00096
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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