High-Fidelity Model Identification for Synchronous Reluctance Motor Drives-Reference-Cited by-同舟云学术

High-Fidelity Model Identification for Synchronous Reluctance Motor Drives

Published:2023-12 Issue:4 Volume:38 Page:2623-2633
ISSN:0885-8969
Container-title:IEEE Transactions on Energy Conversion
language:
Short-container-title:IEEE Trans. Energy Convers.

Author:

Varvolik Vasyl¹^ORCID,Buticchi Giampaolo¹^ORCID,Wang Shuo¹^ORCID,Prystupa Dmytro¹^ORCID,Peresada Sergei²^ORCID,Bozhko Serhiy³^ORCID,Galea Michael³^ORCID

Affiliation:

1. Key Laboratory of More Electric Aircraft Technology of Zhejiang Province, University of Nottingham, Ningbo, China

2. Department of the Electrical Engineering and Automation, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

3. Power Electronics, Machines and Control Group, Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham, U.K.

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/60/10330816/10129057.pdf?arnumber=10129057

Reference37 articles.

1. Magnetically nonlinear dynamic models of synchronous machines and experimental methods for determining their parameters;štumberger;Energies,2019

2. Co-simulation analysis for performance prediction of synchronous reluctance drives;varvolik;Electron,2021

3. Identification of IPMSM Flux-Linkage Map for High-Accuracy Simulation of IPMSM Drives

4. Spatial Inductance Estimation for Current Loop Auto-Tuning in IPMSM Self-Commissioning

5. On the Proprieties of the Differential Cross-Saturation Inductance in Synchronous Machines

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1. On the Accuracy of Flux Linkage Identification for Synchronous Reluctance Motor Drives;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18