High-Fidelity Model Identification for Synchronous Reluctance Motor Drives

Varvolik, Vasyl; Buticchi, Giampaolo; Wang, Shuo; Prystupa, Dmytro; Peresada, Sergei; Bozhko, Serhiy; Galea, Michael

Abstract

This article presents an accurate model identification method for the synchronous reluctance machine (SynRel), considering the nonlinear magnetic behavior and spatial harmonics. The availability of the high-fidelity magnetic model is essential for high-performance control and modeling the vibro-acoustic behavior of the electric drive, allowing to predict not only the average torque but also the torque ripple behavior versus rotor position. The magnetic coenergy variation is calculated based on the flux linkages in order to yield the torque ripple. During the identification, the current disturbances introduced by the spatial effects and the inverter nonlinearities are properly suppressed by the merged proportional-integral (PI) controller with a repetitive technique. Besides, the inverter nonlinearity and digital control effects are carefully addressed to improve identification accuracy. The effectiveness of the proposed identification method is demonstrated by the comparison of the finite element (FE) simulation results and experiments for two SynRel prototypes.

Citation

Varvolik, V., Buticchi, G., Wang, S., Prystupa, D., Peresada, S., Bozhko, S., & Galea, M. (2023). High-Fidelity Model Identification for Synchronous Reluctance Motor Drives. IEEE Transactions on Energy Conversion, 38(4), 2623 - 2633. https://doi.org/10.1109/tec.2023.3277478

• Journal Article Type: Article
• Acceptance Date: May 15, 2023
• Online Publication Date: May 18, 2023
• Publication Date: Dec 1, 2023
• Deposit Date: Nov 28, 2024
• Journal: IEEE Transactions on Energy Conversion
• Print ISSN: 0885-8969
• Electronic ISSN: 1558-0059
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 38
• Issue: 4
• Pages: 2623 - 2633
• DOI: https://doi.org/10.1109/tec.2023.3277478
• Keywords: Electrical and Electronic Engineering; Energy Engineering and Power Technology
• Public URL: https://nottingham-repository.worktribe.com/output/20841758
• Publisher URL: https://ieeexplore.ieee.org/document/10129057