An interpretation of Preisach-Krasnoselskii hysteresis model with the use of artificial neural networks

Summary form only given. This paper presents the application of artificial neural networks to implement an accurate magnetic hysteresis model based on the mathematical definition provided Preisach-Krasnoselskii (P-K) model. Accurate modeling of hysteresis is essential for both the design and the performance evaluation of electromagnetic devices. This paper shows that artificial neural networks (ANN) provide the natural setting whereby the P-K model can be successfully implemented.