Performance Prediction of a Ferrite-Assisted Synchronous Reluctance Machine Considering Different Control Strategies Using Open-Source Finite Element Analysis

The modeling of electrical machines by finite element analysis (FEA) using free and open-source packages nowadays has become more and more feasible and reliable in the last few decades because of the continuous development of open-source FEA and modeling techniques. In this article, a comprehensive modeling method is introduced for the electromagnetic performance prediction of an adjustable speed ferrite-assisted synchronous reluctance machine (FMaSynRM) by using open-source FEA Elmer. The
$d$
–
$q$
model is utilized in this article to compute the
$d$
–
$q$
inductance maps within a few time steps, which takes both the nonlinearity and cross-coupling effects into consideration. The electromagnetic performances, e.g., average torque and flux linkage considering maximum torque per ampere (MTPA), field weakening (FW), and maximum torque per volt (MTPV) operating conditions are further obtained from the post-processing of the
$d$
–
$q$
inductance maps. The comparison of the simulated and measured results proves that the proposed method is feasible and reliable and it might extend the application ranges of Elmer in electrical machine’s design.