Optimal design of electrical machines: State of the art survey

Marcell Baranyai, Amir Mosavi, I. Vajda, A. Várkonyi-Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Scientific optimization has become a popular term in the modern design of electrical machines. Due to the current completive and dynamic market, and the increasing importance of energy efficiency and energy conservation, the design optimization of electrical machines has become an essential strategy for research and development. Yet the multi-disciplinary, multiobjective, high-dimensional, nonlinear, and coupled nature of the electrical machines’ design optimization poses a great challenge to the research communities. Nevertheless, the recent advanced algorithms for multiobjective optimization and multiple-criteria decision analysis have been empowering designers to push the existing boundaries of electrical machines design in dealing with the complexity for the novel concepts and innovative designs. This paper presents a state of the art survey on the advancements of the novel optimization tools and applications, and further demonstrates the progress of the academic research in this realm.

Original languageEnglish
Title of host publicationRecent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017
PublisherSpringer Verlag
Pages209-216
Number of pages8
ISBN (Print)9783319674582
DOIs
Publication statusPublished - Jan 1 2018
Event16th International Conference on Global Research and Education Inter-Academia, 2017 - Iasi, Romania
Duration: Sep 25 2017Sep 28 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume660
ISSN (Print)2194-5357

Other

Other16th International Conference on Global Research and Education Inter-Academia, 2017
CountryRomania
CityIasi
Period9/25/179/28/17

Keywords

  • Design optimization
  • Electrical machines
  • Optimal design

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Baranyai, M., Mosavi, A., Vajda, I., & Várkonyi-Kóczy, A. (2018). Optimal design of electrical machines: State of the art survey. In Recent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017 (pp. 209-216). (Advances in Intelligent Systems and Computing; Vol. 660). Springer Verlag. https://doi.org/10.1007/978-3-319-67459-9_27