Design and control of electrotechnological systems A multi-objective optimization approach

被引：0

作者：

Pleshivtseva, Yuliya ^{[1
]}

Rapoport, Edgar ^{[2
]}

Nacke, Bernard ^{[3
]}

Nikanorov, Alexander ^{[3
,4
]}

Di Barba, Paolo ^{[5
]}

Forzan, Michele ^{[6
]}

Sieni, Elisabetta ^{[7
]}

Lupi, Sergio ^{[6
]}

机构：

[1] Samara State Tech Univ, Fac Heat & Power Engn, Samara, Russia

[2] Samara State Tech Univ, Inst Automat & Informat Technol, Samara, Russia

[3] Leibniz Univ Hannover, Inst Electrotechnol, Hannover, Germany

[4] St Petersburg Electrotech Univ, Dept Electrotechnol & Converter Engn, St Petersburg, Russia

[5] Univ Pavia, Dept Elect Engn, Pavia, Italy

[6] Univ Padua, Dept Ind Engn, Padua, Italy

[7] Insubria Univ, Dept Theoret & Appl Sci, Varese, Italy

来源：

COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING | 2020年 / 39卷 / 01期

关键词：

Induction heating; Optimal control; Optimal design; Multi-objective optimization;

D O I：

10.1108/COMPEL-11-2019-0454

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Purpose This paper aims to investigate different multi-objective optimization (MOO) approaches for design and control of electromagnetic devices. The main goal of MOO is to find the set of design variables or control parameters which will provide the best possible values of typical conflicting objective functions. Design/methodology/approach In the research studies, standard genetic algorithm (GA), non-dominated sorting GA (NSGA-II), migration NSGA algorithm and alternance method of optimal control theory are discussed and compared. Findings The test practical problems of multi-criteria optimization of induction heating processes with respect to chosen quality criteria confirm the effectiveness of application of considered MOO approaches both for the problems of design and control. Originality/value This paper represents and investigates different MOO approaches for design and control of electrotechnological systems.

引用

页码：239 / 247

页数：9

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