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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

Automated Maximum Torque per Ampere Identification for Synchronous Reluctance Machines with Limited Flux Linkage Information Thumbnail


Authors

Shuo Wang

Vasyl Varvolik

Yuli Bao

Ahmed Aboelhassan

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 (7.9 Mb)
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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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