Preference Based And Ideal Multi-Objective Optimization Applied On Hightorque Ferrite Assisted Synchronous Reluctance Machine

Abstract

This paper introduces comparison of optimization algorithms applied on high-torqueferrite-assisted synchronous reluctance machine. The comparison is focused not solely on two algorithmswithin the same multi-objective optimization approach - preference based or ideal, but also oncomparison of these two approaches. The genetic algorithm and self-organizing migrating algorithmin both approaches are used to find optimal solution. The optimization goal is an optimal parametercombination to achieve the highest torque and power factor, while developing the lowest torque ripple.The optimized design will be evaluated by the 2D finite element analysis in steady-state analysis.