Comparison of Model Order Reduction Methods for a Switched Reluctance Machine Characterization

Abstract

In this paper, an exhaustive comparison is presented between two types of model order reduction methods, namely the proper orthogonal decomposition (POD) and the orthogonal interpolation method (OIM), for the characterization of a switched reluctance machine. The purpose of the comparison is to find out the best practices for the design of the machine control parameters and strategy. The control design itself is not presented here, but the needed information is at the focus. The comparison is based on the computation time and the complexity of the reduced-order model as well as the accuracy of the needed data as compared with the one obtained from the full-order model. The results show that OIM is more efficient in terms of calculation time, especially when considering a nonlinear problem.

Comparison of Aluminum and Copper Winding Materials for Switched Reluctance Machines with Finite Element Analysis

“…The design of electrical machines is particularly challenging for electric or hybrid vehicle applications. In the design process, an optimization based on the evaluation of the different losses that occur in the machine is required for each operating point (Boumesbah et al, 2021). A highperformance SRM design, on the other hand, is usually handled in a two-step process.…”

“…A SRM is a rotating electrical machine with nonlinear materials (Boumesbah et al, 2021). It also has a nonlinear electromagnetic structure that is highly dependent on changes in phase current and rotor positions (Alharkan et al, 2021).…”

“…Because of these features, when creating a SRM model, it must include the non-linear behavior of the machine and the rotation features, as this affects its behavior. Within this context, the use of the Finite Element Method (FEM) provides a high precision (Boumesbah et al, 2021). In addition, when the results obtained from numerical methods are compared to those from analytical methods, they can be seen to have a higher accuracy.…”