基于多物理场近似模型的高速永磁电机多目标优化设计

doi:10.19595/j.cnki.1000-6753.tces.210748

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摘要高速永磁电机（HSPMM）由于具有功率密度和效率高、体积小、质量轻及动态响应快等优点受到越来越多的关注。然而,HSPMM的设计是一个典型的非线性的多物理场耦合设计过程,难以建立准确的数学模型对其进行优化设计。该文提出一种基于多物理场近似模型（MPAM）的HSPMM多目标优化设计方法。该方法采用MPAM进行多物理场的并行计算,并在优化过程中直接调用MPAM,可以有效地解决有限元模型（FEM）计算耗时的问题,同时也可以避免有限元优化过程中FEM迭代计算收敛困难的问题。最后,研制了一台1.1MW,18 000r/min的高速永磁电机,并进行了相关的实验,验证了该文所提出的HSPMM优化设计方法的可行性。

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关键词 ：高速永磁电机, 多物理场, 近似模型, 多目标优化

Abstract：High-speed permanent magnet machine (HSPMM) is attracting more attention due to its advantages of high power density and efficiency, small size, light weight and fast dynamic response. The design of HSPMM is a nonlinear, multi-physics coupled process that makes it difficult to build an accurate mathematical model to optimize design parameters. This paper presents a multi-objective optimization method based on multi-physics approximate model (MPAM). This method uses a MPAM to replace the multi-physics serial design process, and directly calls the MPAM for calculations in the optimization process, which can effectively solve the time-consuming problem and avoid the problem of non-convergence in the process of finite element model call. Finally, a 1.1MW, 18 000r/min HSPMM is produced and related experiments are carried out, the feasibility of the method proposed in this paper for HSPMM optimization is verified.

Key words： High speed permanent magnet machine multi-physics approximate model multi-objective optimization

收稿日期: 2021-05-24

PACS:

TM355

基金资助:国家自然科学基金资助项目（51920105011,52077121）

通讯作者: 张岳男,1988年生,教授,博士生导师,研究方向为特种电机及其控制。E-mail：yzhang35@sdu.edu.cn

作者简介: 戴睿男,1993年生,博士研究生,研究方向为高速永磁电机多物理场设计及优化。E-mail：rui_lucky@126.com

引用本文:

戴睿, 张岳, 王惠军, 张凤阁, 张何. 基于多物理场近似模型的高速永磁电机多目标优化设计[J]. 电工技术学报, 2022, 37(21): 5414-5423. Dai Rui, Zhang Yue, Wang Huijun, Zhang Fengge, Zhang He. Multi-Objective Optimization Design of High-Speed Permanent Magnet Machine Based on Multi-Physics Approximate Model. Transactions of China Electrotechnical Society, 2022, 37(21): 5414-5423.

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