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基于多物理场近似模型的高速永磁电机多目标优化设计

  • Rui Dai
  • , Yue Zhang*
  • , Huijun Wang
  • , Fengge Zhang
  • , He Zhang
  • *此作品的通讯作者
  • Shenyang University of Technology
  • Shandong University
  • University of Nottingham Ningbo China

科研成果: 期刊稿件文章同行评审

摘要

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.

投稿的翻译标题Multi-Objective Optimization Design of High-Speed Permanent Magnet Machine Based on Multi-Physics Approximate Model
源语言繁体中文
页(从-至)5414-5423
页数10
期刊Diangong Jishu Xuebao/Transactions of China Electrotechnical Society
37
21
DOI
出版状态已出版 - 10 11月 2022

关键词

  • High speed permanent magnet machine
  • approximate model
  • multi-physics
  • multiobjective optimization

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