Parameter Extraction of a PM Machine Employing 3D Finite Element Analysis Tools for Model Predictive Control Schemes

Abstract

This paper introduces a permanent magnet (PM) machine model accounting for saturation effects and non-sinusoidal electromotive force (EMF) employed in model predictive control schemes. The procedure of the model parameters determination is based on the three dimensional finite element analysis (FEA) considering saturation and cross-coupling effects. The conventional equivalent circuit model is subject to modifications so as to incorporate data derived from FEA enabling the model predictive control strategies to obtain proper actions for the converter operation based on the accurate prediction of the machine performance. The regeneration of the n-order harmonic components of the non-sinusoidal EMF is attained by combining methods of superposition and approximation estimating the output voltage at the machine terminals for different loading and speed. Developed model simulation results have been validated by experiments performed on an inset PM machine prototype.

Model Predictive Control Employing Finite-Element Methods for Aerospace Actuators

“…Using methods of approximation, the tuning factor for each loading current can be calculated. More information about the applied methods can be found in [2], [3].…”

“…Some machine types contain a great deal of saliency [1]; cylindrical rotor theory is not valid and thus dq-transformation is the most appropriate way to analyze their operation, although additional difficulties to the analysis emerge [2], [3]. The extraction of model parameters in d-and q-axes is more complicated than the conventional approach used to be employed.…”