Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines

Benjamin Cheong, Paolo Giangrande, Xiaochen Zhang, Michael Galea, Pericle Zanchetta, Patrick Wheeler

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper presents the development and validation of a fast, accurate, and high dimensional Multiphysics analytical model for the optimization-based design of fractional-slot surface permanent magnet (PM) machines. The approach is non-iterative and high dimensional, i.e. considers a high number of input parameters. The resulting model takes an average of 0.03 seconds to run on a standard PC, and its accuracy is verified by both Finite Element (FE) analysis and experimental tests. Due to its accuracy and speed, the model can be easily integrated within a design optimization environment.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728133980
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/TerritoryChina
CityHarbin
Period11/08/1914/08/19

Keywords

  • Design Optimization
  • Electrical Machine Modelling
  • Permanent Magnet Synchronous Machine

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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