Reduced Representation of Spatial Harmonics for Motor Model Order Reduction Using Block Arnoldi Method

Abstract

A motor model order reduction (MOR) based on the decomposition into stator and rotor domains requires a Fourier expansion of the gap field with a large of number harmonic components, which are handled by the multiport Cauer ladder network (CLN) method. This study proposes a block Arnoldi method to obtain a reduced representation of spatial harmonics. Efficient bases for reduced harmonic representation were generated based on the inductance matrices of CLNs of stator and rotor domains. The interaction between the stator and rotor domains was considered by exchanging the basis vectors. Simulation results show that the proposed method yields an efficient and accurate MOR of the induction motor.