Dynamic dq Model of PMSM Using FE-Based LUTs

In recent years, a significant amount of research on modelling of electrical machines was dedicated to high fidelity hybrid models that incorporate pre-calculated FEA data in the form of lookup tables (LUTs). Despite the increasing interest in this dynamic modelling approach, the literature largely disregards how the construction process of LUTs can impact both the accuracy of the model and the computational efficiency. This paper explores the LUT accuracy level attainable by application of various relevant data fitting interpolation algorithms and data calibration parameters using a standard permanent magnet machine geometry. It is demonstrated that an optimal trade-off between high accuracy LUT demand and the inherent high computational requirements associated with creating the requisite FEA datasets is important for facilitating effective development of hybrid model LUTs.