Estimation of FEM Model Parameters Using Data Assimilation and Its Application to an Electrical Machine

The goal of this paper is to identify the parameter set of a given electrical machine. The identification method is based on data assimilation coupled with the finite-element method. Data assimilation method is an optimization approach that limits the space of candidate parameter sets by centering it on those of the ideal machine. An application to an electrical machine is presented based on the analysis of flux sensor signals. The methodology is validated using twin experiments that consider simulated data and tested considering the measurements extracted from the real alternator.