Research on a Variable-Leakage-Flux Permanent Magnet Motor Control System Based on an Adaptive Tracking Estimator
Xiaolei Cai,
Qixuan Wang,
Yucheng Wang and
Li Zhang ()
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Xiaolei Cai: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Qixuan Wang: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Yucheng Wang: State Grid Zhenjiang Power Supply Company, Zhenjiang 212013, China
Li Zhang: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Energies, 2023, vol. 16, issue 2, 1-16
Abstract:
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: variable-leakage-flux permanent magnet (VLF-PM) motor; rotor position estimation; parameter variations; adaptive tracking estimator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:2:p:587-:d:1024659
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