Abstract
The identification of the magnetic material characteristics for the switched reluctance motor by solving an inverse problem is presented. The inverse problem aims at identifying the magnetic material parameter values of the magnetic circuit, starting from measured torque profiles. The computational time of the inverse problem is appreciably reduced by implementing a space mapping-based inverse approach. Using the space mapping technique, we combine the computationally intensive finite element model with a much faster magnetic network model. The proposed approach is very helpful for the material identification problem on the electrical machine, and the obtained results reveal the success and the reliability of the proposed scheme.