Comparison of Model Order Reduction Methods for a Switched Reluctance Machine Characterization

In this article, an exhaustive comparison is presented between two types of model order reduction methods, namely the proper orthogonal decomposition (POD) and interpolation method (OIM), for characterization a switched reluctance machine. The purpose to find out best practices design machine control parameters strategy. itself not here, but needed information at focus. based on computation time complexity reduced-order as well accuracy data compared with one obtained from full-order model. results show that OIM more efficient in terms calculation time, especially when considering nonlinear problem.