Inverse approach for magnetic material identification of a switched reluctance motor

The identification of the magnetic material characteristics for the switched reluctance motor is presented in this study, by solving an inverse problem. The inverse problem aims at identifying the motor magnetic parameters starting from the measured torque profiles. The computational time of the inverse problem is appreciably reduced by implementing a space mapping-based inverse approach. The space mapping technique combines 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.The identification of the magnetic material characteristics for the switched reluctance motor is presented in this study, by solving an inverse problem. The inverse problem aims at identifying the motor magnetic parameters starting from the measured torque profiles. The computational time of the inverse problem is appreciably reduced by implementing a space mapping-based inverse approach. The space mapping technique combines 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.C