Optimal design of synchronous motor with parameter correction using immune algorithm

This paper presents a new technique for the optimal design of the surface permanent magnet synchronous motor (SPMSM) considering the parameter correction of synchronous reactance. The parameter correction for the design of SPMSM is performed by using the finite element method (FEM). The armature resistance and the residual flux density of rotor magnet are corrected through the thermal analysis. The advanced immune algorithm (AIA) is used in the optimization procedure.