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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 panís 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 panís bottom and to get the desired value suitable for cooking (150Ö200 įC).

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

Full text : PDF (257 KB)