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

doi:10.1109/ICEMS.2019.8921605

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

8 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 language	English
Title of host publication	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728133980
DOIs	https://doi.org/10.1109/ICEMS.2019.8921605
Publication status	Published - Aug 2019
Event	22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China Duration: 11 Aug 2019 → 14 Aug 2019

Publication series

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

Conference

Conference	22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/Territory	China
City	Harbin
Period	11/08/19 → 14/08/19

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

Access to Document

10.1109/ICEMS.2019.8921605

Cite this

Cheong, B., Giangrande, P., Zhang, X., Galea, M., Zanchetta, P., & Wheeler, P. (2019). Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 Article 8921605 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS.2019.8921605

Cheong, Benjamin ; Giangrande, Paolo ; Zhang, Xiaochen et al. / Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines. 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019).

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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.",

keywords = "Design Optimization, Electrical Machine Modelling, Permanent Magnet Synchronous Machine",

author = "Benjamin Cheong and Paolo Giangrande and Xiaochen Zhang and Michael Galea and Pericle Zanchetta and Patrick Wheeler",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 ; Conference date: 11-08-2019 Through 14-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ICEMS.2019.8921605",

language = "English",

series = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

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Cheong, B, Giangrande, P, Zhang, X, Galea, M, Zanchetta, P & Wheeler, P 2019, Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines. in 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019., 8921605, 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Institute of Electrical and Electronics Engineers Inc., 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Harbin, China, 11/08/19. https://doi.org/10.1109/ICEMS.2019.8921605

Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines. / Cheong, Benjamin; Giangrande, Paolo; Zhang, Xiaochen et al.
2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8921605 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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T1 - Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines

AU - Cheong, Benjamin

AU - Giangrande, Paolo

AU - Zhang, Xiaochen

AU - Galea, Michael

AU - Zanchetta, Pericle

AU - Wheeler, Patrick

PY - 2019/8

Y1 - 2019/8

N2 - 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.

AB - 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.

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KW - Electrical Machine Modelling

KW - Permanent Magnet Synchronous Machine

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M3 - Conference contribution

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T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

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

PB - Institute of Electrical and Electronics Engineers Inc.

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Cheong B, Giangrande P, Zhang X, Galea M, Zanchetta P, Wheeler P. Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8921605. (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). doi: 10.1109/ICEMS.2019.8921605

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

Abstract

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Keywords

ASJC Scopus subject areas

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