电机电磁分析的降序建模方法

IF 1.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Science Measurement & Technology Pub Date : 2024-11-12 DOI:10.1049/smt2.12194
Bilquis Mohamodhosen, Christopher Riley, Dan Ilea
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引用次数: 0

摘要

本文提出了一种工作流程来创建电机在其工作范围内的电磁分析的降阶模型,从而可以导出定子力进行力学分析。在EDISON (Electric Drivetrain Integration by Simulation and OptimizatioN)项目中开发的一个永磁同步电机被用作验证工作流程的模型。采用响应面模型逼近法建立了降阶模型,并与有限元分析结果进行了对比验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Reduced order modelling method for electromagnetic analysis of electrical machines

This paper presents a workflow to create a reduced order model for the electromagnetic analysis of electrical machines over its operating range so that the stator forces can be exported for mechanical analysis. A permanent magnet synchronous motor developed within the EDISON (Electric Drivetrain Integration by Simulation and OptimizatioN) project is used as a model to validate the workflow. The response surface model approximation method is used to generate the reduced order model, which is then validated by comparing with the results from finite element analyses.

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来源期刊
Iet Science Measurement & Technology
Iet Science Measurement & Technology 工程技术-工程:电子与电气
CiteScore
4.30
自引率
7.10%
发文量
41
审稿时长
7.5 months
期刊介绍: IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
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