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The nonlinear influence of design parameters on the performance of brushless PM machines

  • Yao Duan
  • , Dan M. Ionel

Producción científica: Conference contributionrevisión exhaustiva

Resumen

The present paper describes a large-scale unitary-study for a generic topology of brushless motors operated from sine-wave current regulated drives. Firstly, a parametric model of the SPM machine, employing nine independent variables is introduced. A sensitivity analysis based on the Response Surface (RS) method is carried out to identify the non-linear correlation between the independent variables and the output functions. Finally, a multi-criteria optimization for the three specific output functions is performed through a Differential Evolution (DE) algorithm. The optimization method demonstrated in the paper is generally applicable to a wide class of brushless SPM machines. At the same time, the boundaries of the 3D pareto front are lined up with the expectations derived from the sensitivity study confirming the effectiveness of the DE algorithm. Other approaches for employing the optimization method for more practical application-dependent design studies are briefly discussed.

Idioma originalEnglish
Título de la publicación alojada2012 IEEE Power and Energy Society General Meeting, PES 2012
DOI
EstadoPublished - 2012
Evento2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States
Duración: jul 22 2012jul 26 2012

Serie de la publicación

NombreIEEE Power and Energy Society General Meeting
ISSN (versión impresa)1944-9925
ISSN (versión digital)1944-9933

Conference

Conference2012 IEEE Power and Energy Society General Meeting, PES 2012
País/TerritorioUnited States
CiudadSan Diego, CA
Período7/22/127/26/12

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. Affordable and clean energy
    Affordable and clean energy

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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