Multi-Object Optimization of the Switched Reluctance Motor

  • Choi, Jae-Hak (Dept. of Electrical Engineering, Hanyang University) ;
  • Kim, Sol (Dept. of Electrical Engineering, Hanyang University) ;
  • Kim, Yong-Su (Dept. of Electrical Engineering, Hanyang University) ;
  • Lee, Sang-Don (Dept. of Electrical Engineering, Wonju National College) ;
  • Lee, Ju (Dept. of Electrical Engineering, Hanyang University)
  • Published : 2004.12.01

Abstract

In this paper, multi-object optimization based on a progressive quadratic response surface method (PQRSM) and a time stepping finite element method (FEM) is proposed. The new PQRSM and FEM are able to decide optimal geometric and electric variables of the switched reluctance motor (SRM) with two objective functions: torque ripple minimization and average torque maximization. The result of the optimum design for SRM demonstrates improved performance of the motor and enhanced relationship between torque ripple and average torque.

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