A Novel Hybrid Analytical Model of Active Magnetic Bearing Considering Rotor Eccentricity and Local Saturation Effect

Journal Article (2022)
Author(s)

Zhi Cao (Southeast University)

Yunkai Huang (Southeast University)

B. C. Guo (Nanjing Normal University)

Fei Peng (Southeast University)

Jianning Dong (TU Delft - DC systems, Energy conversion & Storage)

Ahmed Hemeida (Cairo University)

Research Group
DC systems, Energy conversion & Storage
Copyright
© 2022 Zhi Cao, Yunkai Huang, Baocheng Guo, Fei Peng, J. Dong, Ahmed Hemeida
DOI related publication
https://doi.org/10.1109/TIE.2021.3102396
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 Zhi Cao, Yunkai Huang, Baocheng Guo, Fei Peng, J. Dong, Ahmed Hemeida
Research Group
DC systems, Energy conversion & Storage
Issue number
7
Volume number
69
Pages (from-to)
7151-7160
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

To facilitate the active magnetic bearing (AMB) design and analysis, an accurate and fast model that considers both rotor eccentricity and the saturation effect is necessary. In this article, a novel hybrid analytical model (HAM) for effective calculation of the magnetic field of the AMB is proposed. Eccentricity and local saturation are considered in the proposed HAM. In the proposed HAM, the stator and rotor are modeled by elementary subdomains (ESDs) and the air-gap is modeled by magnetic equivalent circuit (MEC). Direct coupling between the solutions in the ESD regions with MEC completes the whole model matrices. Compared to the existing literature, the proposed model considers both the rotor eccentricity and material nonlinearity. The effectiveness and accuracy of the proposed HAM are validated by both the finite element model and experimental results. The results show that the proposed HAM can accurately predict the magnetic quantities of the AMB.

Files

A_Novel_Hybrid_Analytical_Mode... (pdf)
(pdf | 2.81 Mb)
- Embargo expired in 01-03-2022
License info not available