Abstract
In this paper, an exact analytical method is developed to computer the air-gap magnetic field of surface-mounted permanent-magnet (SMPM) motors for valuating slotting effects accurately. In order to improve the flux density and reduce cogging torque, the genetic algorithm toolbox of Matlab is used to optimize the motor, in which the actual depth of slot, slot opening, the length of gap and pole-arc to pole-pitch ratio are taken into account in the computation. Magnetic field distributions, induced back electromotive force (EMF) and optimized cogging torque computed from the proposed analytical method are compared with those issued from two-dimensional finite-element method (FEM), the comparison results are consistent and shows the correctness and effectiveness of the proposed analytical method.
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