吉林大学学报(工学版) ›› 2025, Vol. 55 ›› Issue (12): 3822-3830.doi: 10.13229/j.cnki.jdxbgxb.20240404

• 车辆工程·机械工程 • 上一篇    

基于GRNN-PSO的新型多端口盘式电机电磁结构优化

刘欣(),樊溢国   

  1. 天津工业大学 现代机电装备技术重点实验室,天津 300387
  • 收稿日期:2024-04-16 出版日期:2025-12-01 发布日期:2026-02-03
  • 作者简介:刘欣(1981-),女,教授,博士.研究方向:特种电机电磁驱动特性与控制策略.E-mail:liuxin@tiangong.edu.cn
  • 基金资助:
    国家自然科学基金项目(51875408)

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

摘要:

针对传统电机输出端口单一的问题,提出一种新型多端口盘式永磁电机(MDPMM)。首先,介绍了该电机结构及工作原理;其次,针对该电机环形弧线定子定位力对推力的影响,对定位力进行了分析计算。由于影响定位力的电磁结构参数较多,设计了一种广义回归神经网络(GRNN)来建立MDPMM快速计算模型,通过建立环形弧线定子区域有限元模型得到参数样本库作为GRNN输入参数,并与支持向量机(SVM)进行对比,验证了GRNN的优越性;以“不降低推力密度,推力的最小波动”为优化目标,采用粒子群优化(PSO)算法对环形弧线定子区域的各结构参数进行优化。最后,通过对比优化前后仿真分析验证了混合GRNN-PSO算法的有效性。

关键词: 多端口盘式电机, 推力波动, 广义回归神经网络, 粒子群优化

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

中图分类号: 

  • TM351

图1

新型多端口盘式永磁电机结构"

图2

MDPMM的定位力分析模型"

图3

环形弧线定子磁通分布图"

图4

端部力"

图5

端部力随错开距离变化"

图6

单槽齿槽力"

图7

齿槽力随错开距离变化"

图8

定位力随结构参数变化曲线"

表1

环形弧线定子设计变量"

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

图9

定位力有限元模型"

表2

环形弧线定子结构参数水平表"

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

表3

样本数据"

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

图10

本文使用的GRNN模型"

图11

推力及推力波动预测结果"

图12

粒子群算法流程图"

图13

PSO适应度曲线"

表4

优化结果"

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

图14

推力及定位力比较图"

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