Sensorless Control Strategy of Novel Axially Magnetized Vernier Permanent-Magnet Machine

Bowen Xu, Jien Ma, Qiyi Wu, Lin Qiu, Xing Liu, Chao Luo and Youtong Fang
Additional contact information
Bowen Xu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Jien Ma: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Qiyi Wu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Lin Qiu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Xing Liu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Chao Luo: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Youtong Fang: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2022, vol. 15, issue 15, 1-19

Abstract: Vernier permanent-magnet machines have been attracted more and more attention because of their high torque density. In this paper, the sensorless control strategy of the novel axially magnetized Vernier permanent-magnet (AMVPM) machine is presented. First, the inductance non-linearity is investigated under different load conditions. Second, the mathematical model is established in cooperation with the finite element method. After that, the back electromotive force based sensorless control strategy is developed according to the state equation of the motor. In the sensorless drive, the model reference adaptive system (MRAS) technique incorporated with the inductance non-linearity is used for the speed estimation. The modified control strategy not only increases the stability but also improves the dynamic response of the system. Finally, the simulation results show that the modified MRAS is of high estimation precision, and the AMVPM machine can be well controlled, and the experimental results validated the theoretical design process.

Keywords: model reference adaptive system; permanent-magnet machine; vector control; Vernier machine (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: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/15/5470/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/15/5470/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:15:p:5470-:d:874148

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().