OPTIMIZATION OF THE INDUCTOR OF AN INDUCTION COOKING SYSTEM USING PARTICLE SWARM OPTIMIZATION METHOD AND FUZZY LOGIC CONTROLLER

OPTIMIZATION OF THE INDUCTOR OF AN INDUCTION COOKING SYSTEM USING PARTICLE SWARM OPTIMIZATION METHOD AND FUZZY LOGIC CONTROLLER

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 Self-adaptiveparticle swarm optimization technique c...

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Veröffentlicht in:Revue roumaine des sciences techniques. Série électrotechnique et énergétique 2020-07, Vol.65 (3-4), p.185-190
Hauptverfasser: Mekki, Abdeldjalil Abdelkader, Kansab, Abdelkader, Matallah, Mohamed, Feliach, Mouloud
Format: Artikel
Sprache:eng
Schlagworte:
Engineering
Engineering, Electrical & Electronic
Science & Technology
Technology
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Zusammenfassung: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 Self-adaptiveparticle 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 degrees C).
ISSN:0035-4066