Improved permeance network model for embedded magnet synchronous machines

This paper presents an enhanced Permeance Network Model (PNM) for embedded permanent magnet synchronous machines. PNMs are characterized by very fast and accurate results. Furthermore, this approach overcomes some weaknesses associated to analytical models, such as the impossibility of accurately predicting the embedded magnet machines behavior or taking into account the nonlinear behavior of the magnetic materials. The proposed model is a parameterized, rotor motion accounting, nonlinear PNM capable of computing radial and tangential airgap fluxes, inductances, back electromotive force and electromagnetic torque. The obtained results have been compared with finite-element analysis (FEA) in FLUX2D^®, demonstrating the effectiveness of the proposed model.