Affiliations: [a] Department of Electrical Energy, Systems and
Automation (EESA), University College Ghent, Ghent University, Ghent,
Belgium | [b] Department of Electrotechnology, Faculty of Applied
Engineering Sciences, University College Ghent, Ghent University, Ghent,
Belgium
Correspondence:
[*]
Corresponding author: Department of Electrical Energy, Systems
and Automation (EESA), University College Ghent, Ghent University, Ghent,
Sint-Pietersnieuwstraat 41, B-9000 Ghent, Belgium. Tel.: +32 9 264 34 21; Fax:
+32 9 264 35 82; E-mail: Ahmed.Abdallh@UGent.be
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.
Keywords: Inverse problems, magnetic material identification, space mapping technique, switched reluctance motor (SRM)
