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

被引：0

作者：

Mekki, Abdeldjalil Abdelkader ^{[1
]}

Kansab, Abdelkader ^{[1
]}

Matallah, Mohamed ^{[2
]}

Feliach, Mouloud ^{[3
]}

机构：

[1] Hassiba Benbouali Univ, Fac Technol, Lab Genie Elect & Energies Renouvlable LGEER, Chief, Algeria

[2] Univ Djilali Bounaama, Khemis Miliana, Algeria

[3] IREENA IUT, CRTT, Bd Univ,BP 406, F-44602 Saint Nazaire, France

来源：

REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE | 2020年 / 65卷 / 3-4期

关键词：

Magneto-; thermal; Finite element method; Self-adaptive particle swarm optimization (PSO); Fuzzy logic control;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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).

引用

页码：185 / 190

页数：6

共 12 条

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