Regular Article

AC motor impedance predictive modeling methodology taking into account windings variability

¹ Université Paris-Saclay, ENS Paris-Saclay, CNRS, SATIE, 4, Avenue des Sciences, 91190 Gif-sur-Yvette, France
² Institut de Recherche Technologique Saint Exupéry, CS34436, 3 Rue Tarfaya, 31400 Toulouse, France
³ CY Cergy Paris Université, CNRS, SATIE, site de de Neuville, 5 mail Gay Lussac, 95031 Neuville sur Oise, France
⁴ Université Paris Est Créteil, CNRS, SATIE, 61 Av. du Général de Gaulle, 94000 Créteil, France

^* Corresponding author: piat.arthur67@gmail.com

Received: 14 September 2023
Accepted: 22 November 2023

Abstract

This paper presents a unified predictive modeling for Common-Mode (CM) and Differential-Mode (DM) impedance estimation of a Permanent Magnet Synchronous Motor (PMSM) with random wounds used in aeronautic applications. This methodology combines 2D Finite Element modeling and generated lumped parameter circuits in a Spice environment. It is then used to determine the consequences of design choices and evaluate the importance of controlling the winding process in PMSM manufacturing. By doing so and by changing parts of the PMSM design, the overall high-frequency response of the system with regard to input parameters can help in satisfying ElectroMagnetic Compatibility (EMC) high-frequency constraints (between 1 kHz and 10 MHz).This paper presents evidence demonstrating the importance of design parameters such as the number of wires in parallel used by turns and the overall placement of the conductor not only with regard to the slot but to other wires within the slot