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Communication Dans Un Congrès Année : 2013

Parameter identification of a lumped parameter thermal model for a permanent magnet synchronous machine

Résumé

In the thermal modeling of electric machines by lumped parameters, an important step is the tuning of influential poorly known parameters to calibrate the model. The use of Inverse methods based on the minimization of residuals between measured and calculated temperatures is therefore of great help. In this paper, the Gauss-Newton (GN) method, the Levenberg-Marquardt (LM) method and the Genetic Algorithms (GA) method are used to solve this optimization problem in order to identify 10 parameters of a lumped parameter thermal model for a permanent magnet synchronous machine (PMSM).
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Dates et versions

hal-01025857 , version 1 (18-07-2014)

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Gilles Guedia Guemo, Patrice Chantrenne, Julien Jac. Parameter identification of a lumped parameter thermal model for a permanent magnet synchronous machine. Electric Machines & Drives Conference (IEMDC), 2013 IEEE International, May 2013, Chicago, IL, United States. pp.1316 - 1320, ⟨10.1109/IEMDC.2013.6556329⟩. ⟨hal-01025857⟩
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