Optimal Design of Hybrid Stator Pole Type Bearingless Switched Reluctance Motor with Simulated Annealing Particle Swarm Optimization Algorithm

In order to solve the problems of traditional 12/14 hybrid stator pole type bearingless switched reluctance motor (BSRM), such as small starting torque and large torque ripple, a BSRM based on stepped rotor structure was designed in this paper. Then, the particle swarm optimization (PSO) algorithm i...

Full description

Saved in:
Bibliographic Details
Published in2022 IEEE 5th International Electrical and Energy Conference (CIEEC) pp. 3422 - 3427
Main Authors Xu, Zhenyao, Yu, Qingguo, Wang, Huijun, Zhang, Yue, Yi, Tiehang
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.05.2022
Subjects
Bearingless switched reluctance motor
particle swarm optimization
response surface method
Response surface methodology
Rotors
self-starting
Simulated annealing
Stators
stepped rotor
Switched reluctance motors
Torque
Torque measurement
Online AccessGet full text
DOI10.1109/CIEEC54735.2022.9845835

Cover

More Information
Summary:In order to solve the problems of traditional 12/14 hybrid stator pole type bearingless switched reluctance motor (BSRM), such as small starting torque and large torque ripple, a BSRM based on stepped rotor structure was designed in this paper. Then, the particle swarm optimization (PSO) algorithm is studied and improved, and the simulated annealing particle swarm optimization (SAPSO) algorithm is proposed and its effectiveness is verified. In addition, the response surface method is used to replace the finite element calculation, and the mathematical model is combined with SAPSO algorithm to optimize the structural parameters of the motor. Finally, the basic characteristics, including inductance, torque, suspension force and coupling characteristics, of the original and optimized BSRM were analyzed and compared to verify the effectiveness of the proposed SAPSO algorithm.
DOI:10.1109/CIEEC54735.2022.9845835