Nonlinear Magnetics Model for Permanent Magnet Synchronous Machines Capturing Saturation and Temperature Effects

TL;DR

This paper introduces a nonlinear magnetics model for PMSMs that effectively captures magnetic saturation and temperature effects, improving accuracy over traditional models through FEA and experimental validation.

Contribution

It presents a novel PMSM magnetics model considering the magnet as a current source, enhancing accuracy in capturing saturation and temperature effects.

Findings

The proposed model outperforms traditional flux-linkage models in accuracy.

Finite Element Analysis confirms the model's effectiveness across different designs.

Experimental validation supports the model's practical applicability.

Abstract

This paper proposes a nonlinear magnetics model for Permanent Magnet Synchronous Machines (PMSMs) that accurately captures the effects of magnetic saturation in the machine iron and variations in rotor temperature on the permanent magnet excitation. The proposed model considers the permanent magnet as a current source rather than the more commonly used flux-linkage source. A comparison of the two modelling approaches is conducted using Finite Element Analysis (FEA) for different machine designs as well as experimental validation, where it is shown that the proposed model has substantially better accuracy. The proposed model decouples magnetic saturation and rotor temperature effects in the current/flux-linkage relationship, allowing for adaptive estimation of the PM excitation.