Methods for studying the pareto-fronts in multi-objective design optimization problems of electrical machines

Yao Duan, Qin Sun, Dan M. Ionel

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

6 Scopus citations

Abstract

The paper describes a generic multi-objective problem for surface mounted permanent magnet rotor synchronous machines operated from current-regulated sine-wave power electronic drives. Three objectives are concurrently considered for the maximum specific torque per mass of PM, the minimum specific losses per mass of winding copper and laminated steel, and the minimum relative torque ripple as a fraction of rated average torque. These formulations, together with the use of a parametric model with eight input variables defined relatively to a ninth independent variable, the air-gap (stator inner) diameter, which is the only one employing absolute dimensions, ensure the generality of the method and of the results in a wide range of rated power from 1kW to 1MW. A Differential Evolution optimization algorithm with 4,800 candidate designs, analyzed through a computational efficient electromagnetic FEA technique, is employed. Procedures for systematically studying the resultant optimal pareto-front are proposed. The reported findings include insights into system correlations and engineering recommendations for selecting optimal values for the design input variables.

Original languageEnglish
Title of host publication2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013
Pages5013-5018
Number of pages6
DOIs
StatePublished - 2013
Event5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013 - Denver, CO, United States
Duration: Sep 15 2013Sep 19 2013

Publication series

Name2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013

Conference

Conference5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013
Country/TerritoryUnited States
CityDenver, CO
Period9/15/139/19/13

Keywords

  • Brushless PM motor
  • design optimization
  • differential evolution
  • finite element analysis
  • optimal pareto-front
  • sensitivity analysis
  • synchronous machine

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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