LAPSE:2023.6132
Published Article
LAPSE:2023.6132
Research on a Variable-Leakage-Flux Permanent Magnet Motor Control System Based on an Adaptive Tracking Estimator
Xiaolei Cai, Qixuan Wang, Yucheng Wang, Li Zhang
February 23, 2023
Due to the characteristics of inductance parameter mismatch and back electromotive force harmonics caused by novel leakage flux branches and other non-ideal factors for the variable-leakage-flux permanent magnet (VLF-PM) motor, its control system suffers from a deteriorated performance of the rotor position estimation. To overcome the problems mentioned above, an adaptive tracking estimator of the rotor position is proposed in this paper for the VLF-PM motor control system. First, the proposed method simplifies the VLF-PM motor mathematical model and reduces the effect of inductance parameter variations according to the active flux concept. Then, robust and gradient descent algorithms are utilized to maintain the robustness of inductance parameter variations and eliminate the specific order harmonics owing to the novel leakage flux branches. Meanwhile, the accuracy and stability are enhanced. Furthermore, the position compensation based on the current adaptive tracking strategy is proposed to compensate the rotor position error caused by other non-ideal factors. Finally, the feasibility of the proposed estimated system is verified.
Keywords
adaptive tracking estimator, parameter variations, rotor position estimation, variable-leakage-flux permanent magnet (VLF-PM) motor
Suggested Citation
Cai X, Wang Q, Wang Y, Zhang L. Research on a Variable-Leakage-Flux Permanent Magnet Motor Control System Based on an Adaptive Tracking Estimator. (2023). LAPSE:2023.6132
Author Affiliations
Cai X: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Wang Q: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Wang Y: State Grid Zhenjiang Power Supply Company, Zhenjiang 212013, China
Zhang L: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China [ORCID]
Journal Name
Energies
Volume
16
Issue
2
First Page
587
Year
2023
Publication Date
2023-01-04
Published Version
ISSN
1996-1073
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PII: en16020587, Publication Type: Journal Article
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doi:10.3390/en16020587
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