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Author:

Jia, Shaofeng (Jia, Shaofeng.) | Chen, Peixiong (Chen, Peixiong.) | Feng, Shuai (Feng, Shuai.) | Liang, Deliang (Liang, Deliang.)

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Abstract:

In recent years, the fault-tolerant performance of electric machine systems has received much attention in the fields of electric vehicles, military industries, aerospace. This paper focuses on modeling, and field orientation control (FOC) for a novel dual stator/rotor PM and winding flux modulated PM machine (FMPM). The remarkable characteristic of the machine is that both the stator and rotor have PMs and windings. The particular structure enables the machine to generate multiple torque components, improving torque density and fault tolerance. Firstly, the machine's topology and multiple torque components are illustrated, then the mathematical model of the machine and control system based on the FOC method are investigated. Finally, simulation is carried out in MATLAB, and the simulation results verify the feasibility of the proposed method. © 2021 IEEE.

Keyword:

Aerospace industry Electric windings Fault tolerance MATLAB Military vehicles Permanent magnets Rotors (windings) Stators Topology Torque Vector control (Electric machinery) Winding

Author Community:

  • [ 1 ] [Jia, Shaofeng]State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China
  • [ 2 ] [Chen, Peixiong]State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China
  • [ 3 ] [Feng, Shuai]State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China
  • [ 4 ] [Liang, Deliang]State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China

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Year: 2021

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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