Design and control of electrotechnological systems: A multi-objective optimization approach
ISSN: 0332-1649
Article publication date: 7 January 2020
Issue publication date: 11 March 2020
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
Acknowledgements
This work is partly supported by Russian Foundation for Basic Researches (Projects No 19-08-00232 and No 18-08-00048).
Citation
Pleshivtseva, Y., Rapoport, E., Nacke, B., Nikanorov, A., Di Barba, P., Forzan, M., Sieni, E. and Lupi, S. (2020), "Design and control of electrotechnological systems: A multi-objective optimization approach", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 39 No. 1, pp. 239-247. https://doi.org/10.1108/COMPEL-11-2019-0454
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited