Multiobjective Design Optimization of Brushless DC Motor

브러시리스 직류전동기의 다목적 최적설계

  • 전연도 (한양대 BK21 기계분야) ;
  • 약미진치 (와세다대학 전기정보생명공학) ;
  • 이주 (한양대 공대 전자전기공학) ;
  • 오재응 (한양대학교 BK 기계사업단)
  • Published : 2004.05.01

Abstract

The multiobjective optimization (MO) problem usually includes the conflicting objectives and the use of conventional optimization algorithms for MO problem does not so good approach to obtain an effective optimal solution. In this paper, genetic algorithm (GA) as an effective method is used to solve such MO problem of brushless DC motor (BLDCM). 3D equivalent magnetic circuit network (EMCN) method which enables us to reduce the computational burden is also used to consider the 3D structure of BLDCM. In order to effectively obtain a set of Pareto optimal solutions in MO problem, ranking method proposed by Fonseca is applied. The objective functions are decrease of cogging torque and increase of torque respectively. The airgap length, teeth width and magnetization angle of PM are selected for the design variables. The experimental results are also shown to confirm the validity of the optimization results.

Keywords

References

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