Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (12): 3822-3830.doi: 10.13229/j.cnki.jdxbgxb.20240404

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Optimization of electromagnetic structure of new multi⁃port disk motor based on GRNN⁃PSO

Xin LIU(),Yi-guo FAN   

  1. Tianjin Key Laboratory of Modern Electromechanical Equipment Technology,Tiangong University,Tianjin 300387,China
  • Received:2024-04-16 Online:2025-12-01 Published:2026-02-03

Abstract:

To address the issue of a single output port in traditional motors, a novel multi-port disc-type permanent magnet motor (MDPMM) was proposed. First, the structure and working principle of this motor is introduced. Second, the impact of the positioning force of the ring-arc stator on thrust was analyzed and calculated. Due to the numerous electromagnetic structural parameters affecting the positioning force, a generalized regression neural network (GRNN) was designd to establish a rapid calculation model for the MDPMM. By constructing a finite element model of the ring-arc stator region, a parameter sample library was obtained as input for the GRNN. The superiority of GRNN is verified by comparing it with support vector machines (SVM). With the optimization objective of "no reduction of thrust density and minimum fluctuation of thrust" , the particle swarm optimization(PSO)algorithm is used to optimize the structural parameters of the ring-arc stator region. Finally, the effectiveness of the hybrid GRNN-PSO algorithm is validated through comparative simulation analysis before and after optimization.

Key words: multi-port disk permanent magnet motor, thrust ripples, generalised regression neural network, particle swarm optimisation

CLC Number: 

  • TM351

Fig.1

Multi-port disk permanent magnet motor structure"

Fig.2

Detent force analysis model for MDPMM"

Fig.3

Circular arc stator flux distribution"

Fig.4

Single end force"

Fig.5

End force varies with stagger distance"

Fig.6

Position-varying attractive force from one slot"

Fig.7

Cogging forces varies with stagger distance"

Fig.8

Schematic diagram of detent force variation"

Table 1

Circular arc stator design variable restrictions"

参数最小值最大值
辅助齿的齿厚D/mm35
辅助齿的齿高H/mm1315
极距τp/mm9.7512
永磁体厚度hm/mm35
气隙高度δ/mm0.51.5

Fig.9

Finite element model for detent force"

Table 2

Structure parameter level of circular arc stator"

参数水平1水平2水平3
D/mm34.55
H/mm131415
τp/mm9.7510.87512
hm/mm34.55
δ/mm0.511.5

Table 3

Sample data"

序号环形弧线定子设计参数输出性能
H/mmD/mmδ/mmhm/mmτp/mmF/Nγ/N
11530.539.7595.3512.35
2154.50.539.7593.0331.19
31550.539.7592.9236.09
????????
1601331.5512110.7118.84
161134.51.5512110.878.00
1621351.5512110.955.62

Fig.10

GRNN architecture used in this study"

Fig.11

Thrust and thrust fluctuation prediction results"

Fig.12

Flowchart of particle swarm optimization"

Fig.13

Fitness curve of PSO"

Table 4

Optimization results"

参数优化前GRNN-PSO优化后RSM优化后
D/mm54.873.92
H/mm1513.2713.57
τp/mm1210.5811.99
hm/mm53.373.91
δ/mm0.50.930.77

Fig.14

Comparison of thrust and detent force"

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