A novel sequential strategy for multivariable optimization in designing of PM motor

X. Liu, Weinong Fu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents a novel sequential strategy which is based on finite element method (FEM) and optimization methodology. It is proposed to deal with the multivariable designing of the permanent magnet (PM) motor. In this paper, the property variables are divided into groups by a key factor, each group only involves one or two variables. Then the optimization process will be obtained sequentially by the groups. After obtains the optimal result for one group of property variables, next group of variables will be employed in the optimization. This process will continue until the designing maximizes its power efficiency. This method distributes the multivariable optimization into single variable and bi-variables optimizations. It can reduce the computing complexity and save a lot of working time. In order to check the efficiency of this method, this project compares this new strategy with a normal optimal FEM method.
Original languageEnglish
Title of host publication2015 IEEE International Magnetics Conference, INTERMAG 2015
PublisherIEEE
ISBN (Electronic)9781479973224
DOIs
Publication statusPublished - 1 Jan 2015
Event2015 IEEE International Magnetics Conference, INTERMAG 2015 - Beijing, China
Duration: 11 May 201515 May 2015

Conference

Conference2015 IEEE International Magnetics Conference, INTERMAG 2015
CountryChina
CityBeijing
Period11/05/1515/05/15

Keywords

  • Multivariable optimization
  • particle swarm optimization
  • permanent magnet motor
  • random search
  • sequential strategy

ASJC Scopus subject areas

  • Surfaces, Coatings and Films
  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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