Design and control of electrotechnological systems

A multi-objective optimization approach

verfasst von: Yuliya Pleshivtseva, Edgar Rapoport, Bernard Nacke, Alexander Nikanorov, Paolo Di Barba, Michele Forzan, Elisabetta Sieni, Sergio Lupi
Abstract: 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.
Organisationseinheit(en): Institut für Elektroprozesstechnik
Externe Organisation(en): Samara State Technical University
Università degli Studi di Pavia
Universität Padua
Università degli Studi dell’Insubria
Staatliche Universität Sankt Petersburg
Typ: Artikel
Journal: COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Band: 39
Seiten: 239-247
Anzahl der Seiten: 9
ISSN: 0332-1649
Publikationsdatum: 19.12.2019
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Angewandte Informatik, Theoretische Informatik und Mathematik, Elektrotechnik und Elektronik, Angewandte Mathematik
Elektronische Version(en): https://doi.org/10.1108/COMPEL-11-2019-0454 (Zugang: Geschlossen)

BibTeX

@article{7758a47f96974f1592d40e6381d109cf,
title = "Design and control of electrotechnological systems: A multi-objective optimization approach",
abstract = "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.",
keywords = "Induction heating, Multi-objective optimization, Optimal control, Optimal design",
author = "Yuliya Pleshivtseva and Edgar Rapoport and Bernard Nacke and Alexander Nikanorov and {Di Barba}, Paolo and Michele Forzan and Elisabetta Sieni and Sergio Lupi",
note = "Funding Information: This work is partly supported by Russian Foundation for Basic Researches (Projects No 19-08-00232 and No 18-08-00048).",
year = "2019",
month = dec,
day = "19",
doi = "10.1108/COMPEL-11-2019-0454",
language = "English",
volume = "39",
pages = "239--247",
journal = "COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering",
issn = "0332-1649",
publisher = "Emerald Group Publishing Ltd.",
number = "1",
}