Design considerations for the tooth shoe shape for high-speed permanent magnet generators

He Zhang; Xiaochen Zhang; Chris Gerada; Michael Galea; David Gerada; Jing Li

doi:10.1109/TMAG.2015.2448096

Design considerations for the tooth shoe shape for high-speed permanent magnet generators

He Zhang, Xiaochen Zhang, Chris Gerada, Michael Galea, David Gerada, Jing Li

Research output: Journal Publication › Article › peer-review

14 Citations (Scopus)

Abstract

This paper presents a study of the effects that the shoe shape of the teeth of electrical machines has on the performance and losses. This is done by considering a concentrated wound, high-speed permanent magnet generator. The paper investigates the influence of the tooth shoe shape on the machine magnetic circuit and the losses distribution based on analytical and finite-element analysis (FEA). A shape coefficient K_t is proposed to provide an optimized design reference. A comprehensive analytical tool able to study the variations of the machine performance parameters is proposed. The deduced optimization function is normalized using the non-equilibrium relative weighting method, and then, it is processed via a genetic algorithm to achieve the optimized design. FEA is used to validate the proposed analytical tool and the optimum design.

Original language	English
Article number	7130627
Journal	IEEE Transactions on Magnetics
Volume	51
Issue number	11
DOIs	https://doi.org/10.1109/TMAG.2015.2448096
Publication status	Published - 1 Nov 2015

Keywords

high speed electrical machine
optimization
tooth shoe

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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10.1109/TMAG.2015.2448096

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title = "Design considerations for the tooth shoe shape for high-speed permanent magnet generators",

abstract = "This paper presents a study of the effects that the shoe shape of the teeth of electrical machines has on the performance and losses. This is done by considering a concentrated wound, high-speed permanent magnet generator. The paper investigates the influence of the tooth shoe shape on the machine magnetic circuit and the losses distribution based on analytical and finite-element analysis (FEA). A shape coefficient Kt is proposed to provide an optimized design reference. A comprehensive analytical tool able to study the variations of the machine performance parameters is proposed. The deduced optimization function is normalized using the non-equilibrium relative weighting method, and then, it is processed via a genetic algorithm to achieve the optimized design. FEA is used to validate the proposed analytical tool and the optimum design.",

keywords = "high speed electrical machine, optimization, tooth shoe",

author = "He Zhang and Xiaochen Zhang and Chris Gerada and Michael Galea and David Gerada and Jing Li",

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AU - Zhang, He

AU - Zhang, Xiaochen

AU - Gerada, Chris

AU - Galea, Michael

AU - Gerada, David

AU - Li, Jing

PY - 2015/11/1

Y1 - 2015/11/1

N2 - This paper presents a study of the effects that the shoe shape of the teeth of electrical machines has on the performance and losses. This is done by considering a concentrated wound, high-speed permanent magnet generator. The paper investigates the influence of the tooth shoe shape on the machine magnetic circuit and the losses distribution based on analytical and finite-element analysis (FEA). A shape coefficient Kt is proposed to provide an optimized design reference. A comprehensive analytical tool able to study the variations of the machine performance parameters is proposed. The deduced optimization function is normalized using the non-equilibrium relative weighting method, and then, it is processed via a genetic algorithm to achieve the optimized design. FEA is used to validate the proposed analytical tool and the optimum design.

AB - This paper presents a study of the effects that the shoe shape of the teeth of electrical machines has on the performance and losses. This is done by considering a concentrated wound, high-speed permanent magnet generator. The paper investigates the influence of the tooth shoe shape on the machine magnetic circuit and the losses distribution based on analytical and finite-element analysis (FEA). A shape coefficient Kt is proposed to provide an optimized design reference. A comprehensive analytical tool able to study the variations of the machine performance parameters is proposed. The deduced optimization function is normalized using the non-equilibrium relative weighting method, and then, it is processed via a genetic algorithm to achieve the optimized design. FEA is used to validate the proposed analytical tool and the optimum design.

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Design considerations for the tooth shoe shape for high-speed permanent magnet generators

Abstract

Keywords

ASJC Scopus subject areas

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