Design optimization of active magnetic thrust bearing systems using multi objective genetic algorithms

Abstract

In the present work an optimum design and analyses of active magnetic thrust bearings AMTB and hybrid magnetic thrust bearings HMTB have been carried out The active magnetic bearing contains only electromagnets whereas the hybrid contains both the electro magnets and permanent magnets Initially the optimization has been carried out using single objective genetic algorithms SOGA Two objectives namely the power loss and overall weight of the bearing are considered one at a time Dif