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J-A Hysteresis Model Parameters Estimation using GA
Journal Title Advances in Electrical and Electronic Engineering
Journal Abbreviation AEEE
Publisher Group Technical University of Ostrava (VSB)
Website http://advances.utc.sk/index.php/AEEE
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Title J-A Hysteresis Model Parameters Estimation using GA
Authors Zidaric, Bogomir; Miljavec, Damijan
Abstract This paper presents the Jiles and Atherton (J-A) hysteresis model parameter estimation for soft magnetic composite (SMC) material. The calculation of Jiles and Atherton hysteresis model parameters is based on experimental data and genetic algorithms (GA). Genetic algorithms operate in a given area of possible solutions. Finding the best solution of a problem in wide area of possible solutions is uncertain. A new approach in use of genetic algorithms is proposed to overcome this uncertainty. The basis of this approach is in genetic algorithm built in another genetic algorithm.
Publisher Faculty of Electrical Engineering and Computer Science
Date 2011-06-28
Source Advances in Electrical and Electronic Engineering Vol 4, No 3 (2005): September
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