This work documents the research towards the identification of the FEM model of a measurement workbench for vector magnetic fields in ferromagnetic structures. The device under test is a Round Rotational Single Sheet Tester, having as excitation structure the stator of an induction motor. The FEM model of this workbench is characterized, apart from the geometrical structure, by three unknown parameters relative to the stator: the turn for each winding, the angular displacement of the slots and the magnetic permeability of the stator. The inverse problem associated to the determination of such parameters is both continuous (angle and permeability) and discrete (turns). For the solution of the problem, the application of a powerful parallel algorithm, the CFSO3, is proposed.

Laudani, A., Lozito, G.M., RIGANTI FULGINEI, F., Salvini, A. (2016). FEM model identification for a vector hysteresis workbench. In 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 (pp.1-5). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI.2016.7740620].

FEM model identification for a vector hysteresis workbench

LAUDANI, ANTONINO;Lozito, Gabriele Maria;RIGANTI FULGINEI, Francesco;Salvini, Alessandro
2016

Abstract

This work documents the research towards the identification of the FEM model of a measurement workbench for vector magnetic fields in ferromagnetic structures. The device under test is a Round Rotational Single Sheet Tester, having as excitation structure the stator of an induction motor. The FEM model of this workbench is characterized, apart from the geometrical structure, by three unknown parameters relative to the stator: the turn for each winding, the angular displacement of the slots and the magnetic permeability of the stator. The inverse problem associated to the determination of such parameters is both continuous (angle and permeability) and discrete (turns). For the solution of the problem, the application of a powerful parallel algorithm, the CFSO3, is proposed.
9781509011315
9781509011315
Laudani, A., Lozito, G.M., RIGANTI FULGINEI, F., Salvini, A. (2016). FEM model identification for a vector hysteresis workbench. In 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 (pp.1-5). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI.2016.7740620].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/313529
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