A Neural Approach for Determination of Preisach Model Parameters Under a Sinusoidal Induction at Various Frequencies
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Colleges, School and Institutes
In this paper, we present a neural network-based approach, which allows us to predict the hysteretic loop, whatever the value of the frequency and flux density. The approach makes use of the Preisach-hysteretic model (PM) which provides a mathematical model to the B(H) curve, while the neural enables us to identify and predict the behaviour of parameters that the PM needs. (c) 2005 Elsevier B.V. All rights reserved.
|Number of pages||5|
|Journal||Physica B - Physics of Condensed Matter|
|Publication status||Published - 1 Feb 2006|
- magnetic losses, hysteresis, neural network, Preisach model