Magnetic hysteresis modeling from measured data using fuzzy logic

نویسنده

  • B. Boudjema
چکیده

This paper propose an accurate Fuzzy model for describing dynamic hysteresis of ferromagnetic material from measured data using soft computing approaches. We highlighted a fuzzy dynamic model based on measured and normalized input/output data on a C core transformer made of 0.33mm laminations of cold rolled SiFe. Membership’s functions of fuzzy rules are obtained by using the Expectation-Maximization algorithm and the number of fuzzy rules is optimized by the partition coefficients (PC) and entropy classification (EC) indices. Results show the efficiency of clustering techniques in the identification of highly nonlinear systems

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تاریخ انتشار 2010