Paper title: OPTIMIZATION OF THE INDUCTOR OF AN INDUCTION COOKING SYSTEM USING PARTICLE SWARM OPTIMIZATION METHOD AND FUZZY LOGIC CONTROLLER
Author(s): ABDELDJALIL ABDELKADER MEKKI, ABDELKADER KANSAB, MOHAMED MATALLAH, MOULOUD FELIACHI,
Abstract: To improve the performances of an induction cooking system we propose a method that yields a better homogeneity of the
temperature on the pan’s bottom and a good regulation of the temperature. Firstly we apply the optimization method based on Selfadaptiveparticle
swarm optimization technique combined with the 2D FEM method in order to determine the inductor optimal slots
distribution and their dimensions .Secondly, a temperature control technique based on the so-called Fuzzy logiccontrol is used in
order to limit the excess temperature on the pan’s bottom and to get the desired value suitable for cooking (150…200 °C).
Keywords: Magneto-thermal, Finite element method, Self-adaptive particle swarm optimization (PSO), Fuzzy logic control Year: 2020 | Tome: 65 | Issue: 3-4 | Pp.: 185-190
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