基于Kriging模型的永磁电机优化设计

微特电机 ›› 2023, Vol. 51 ›› Issue (5): 7-12.

基于Kriging模型的永磁电机优化设计

应志平¹, 卢琴芬^1,2, 包广清³, 任彦浩¹

1.兰州理工大学电气工程与信息工程学院,兰州 730050;
2.浙江大学电气工程学院,杭州 310027;
3.西南石油大学电气信息学院,成都 610500

收稿日期:2023-02-23 出版日期:2023-05-28 发布日期:2023-05-29
作者简介:应志平(1995—),男,硕士研究生,研究方向为高效永磁电机快速优化设计。卢琴芬(1972—),女,博士,教授,博士生导师,研究方向为电机的优化设计、驱动控制及应用技术。包广清(1972—),女,博士,教授,博士生导师,研究方向为电机电磁场分析与设计。任彦浩(1997—),男,硕士研究生,研究方向为高加速度直线电机设计与优化。
基金资助:
国家自然科学基金项目(51967012)

Optimization of Permanent Magnet Motor Based on Kriging Model

YING Zhiping¹, LU Qinfen^1,2, BAO Guangqing³, REN Yanhao¹

1. College of Electrical and Information Engineering, Lanzhou University of Technology,Lanzhou 730050, China;
2. College of Electrical Engineering, Zhejiang University,Hangzhou 310027, China;
3. School of Electronics and Information Engineering, Southwest Petroleum University,Chengdu 610500, China

Received:2023-02-23 Online:2023-05-28 Published:2023-05-29

摘要/Abstract

摘要： 针对空压机用高效电机采用有限元法进行优化耗时长、效率低的问题,提出了一种基于Kriging模型的优化方法,以减少有限元调用次数和提高优化效率。以功率因数和效率为优化目标,同时考虑永磁体用量,对电机的结构参数进行敏感性分析,选择永磁体磁化方向长度、永磁体宽度和轴向铁心长度作为优化变量;基于改进的拉丁超立方抽样和有限元获得样本集,建立Kriging模型代替有限元进行迭代优化,优化过程中有限元调用次数减少了83%,节省了计算成本;通过有限元进行优化前后的对比分析,验证了该优化结果的可行性和正确性。优化后电机的功率因数与效率得到改善,且永磁体用量减少了9.94%,降低了电机的材料成本。

关键词: 内置式永磁同步电机, 优化设计, Sobol模型, Kriging模型, 遗传算法

Abstract: An optimization method based on Kriging model was proposed to solve the time-consuming problem of using finite element method to optimize the high-efficiency motor for air compressor by reducing the number of finite element calls.With power factor and efficiency as the optimization objectives considering the amount of permanent magnet, sensitivity analysis was carried out on the structural parameters of the motor, and the magnetization direction length of permanent magnet, permanent magnet width and axial core length were selected as the optimization variables.The Kriging model based on the improved Latin hypercube design and finite element method to obtain the sample set was established to replace the finite element method for iterative optimization, which reduced the number of finite element calls by 64% during the optimization process and saved the calculation cost. The feasibility and correctness of the optimization results were verified by comparison before and after optimization with the finite element. The power factor and efficiency of the optimized motor were improved, and the amount of permanent magnet was reduced by 9.94%, which can reduce the material cost.

Key words: interior permanent magnet synchronous motor(IPMSM), optimal design, Sobol model, Kriging model, genetic algorithm

中图分类号:

TM351

应志平, 卢琴芬, 包广清, 任彦浩. 基于Kriging模型的永磁电机优化设计[J]. 微特电机, 2023, 51(5): 7-12.

YING Zhiping, LU Qinfen, BAO Guangqing, REN Yanhao. Optimization of Permanent Magnet Motor Based on Kriging Model[J]. Small & Special Electrical Machines, 2023, 51(5): 7-12.

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