Optimal Shaping for Electrically Excited Synchronous Motor

Abstract

This paper deal with the design of electrically excited synchronous motors (EESMs) for use in industrial and automotive applications. EESMs require careful attention to the shape of the stator and rotor in order to maximize their efficiency and performance. Two approaches are commonly used to optimize the shape of EESMs: Finite Element (FE) analysis and analytical modeling. While FE analysis offers high accuracy, it is computationally expensive. Analytical modeling, on the other hand, is faster but less detailed in performance evaluation. This paper presents a fast and effective method for designing EESMs using an analytical magnetic network. The network is designed to find the optimal shape of an EESM based on a variety of sinusoidal component shapes. The paper provides a validation of the analytical model and reports on a parametric computation to obtain a Pareto front for better solutions. Design wellness is evaluated using the low order harmonic and maximum values of no-load flux density.