DocumentCode :
3356651
Title :
Qualitative modelling for dynamic magnetic hysteresis
Author :
Mordjaoui, M. ; Chabane, M. ; Boudjema, B.
Author_Institution :
Electr. Eng. Dept., Univ. of Skikda, Skikda
fYear :
2007
fDate :
10-12 Sept. 2007
Firstpage :
226
Lastpage :
231
Abstract :
The studies of practical magnetic systems with hysteresis phenomenon are of great importance in electrical engineering. As an alternative to physical and empirical model, a qualitative model was constructed using adaptive fuzzy logic called adaptive network fuzzy inference system (ANFIS). The proposed model demonstrates the modelling and accurate capability of a hybrid system to a nonlinear dynamic hysteresis. It has been used to model the hysteresis curve versus frequency. Firstly, mathematical modeling of the dynamic hysteresis is established and then, data gathered from this model is employed to create an ANFIS model of the system. Both mathematical and ANFIS model is compared, it is shown that the proposed model can restore hysteresis cycles with a little RMS error.
Keywords :
electrical engineering computing; fuzzy logic; fuzzy neural nets; inference mechanisms; magnetic hysteresis; magnetic materials; adaptive fuzzy logic; adaptive network fuzzy inference system; dynamic magnetic hysteresis; electrical engineering; nonlinear dynamic hysteresis; Fuzzy logic; Fuzzy neural networks; Magnetic anisotropy; Magnetic hysteresis; Magnetic materials; Mathematical model; Neural networks; Nonlinear dynamical systems; Perpendicular magnetic anisotropy; Predictive models; ANFIS; Preisach hysteresis model; dynamic behaviour; magnetic core;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Power Electronics, 2007. ACEMP '07. International Aegean Conference on
Conference_Location :
Bodrum
Print_ISBN :
978-1-4244-0890-0
Electronic_ISBN :
978-1-4244-0891-7
Type :
conf
DOI :
10.1109/ACEMP.2007.4510507
Filename :
4510507
Link To Document :
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