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Review of Soft Computing Models in Design and Control of Rotating Electrical Machines.

Authors :
Dineva, Adrienn
Mosavi, Amir
Faizollahzadeh Ardabili, Sina
Vajda, Istvan
Shamshirband, Shahaboddin
Rabczuk, Timon
Chau, Kwok-Wing
Source :
Energies (19961073); Mar2019, Vol. 12 Issue 6, p1049-1049, 1p, 2 Diagrams, 11 Charts, 15 Graphs
Publication Year :
2019

Abstract

Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy. Novelty and advancement in the control and high-performance design of these machines are of interest in energy management. Soft computing methods are known as the essential tools that significantly improve the performance of rotating electrical machines in both aspects of control and design. From this perspective, a wide range of energy conversion systems such as generators, high-performance electric engines, and electric vehicles, are highly reliant on the advancement of soft computing techniques used in rotating electrical machines. This article presents the-state-of-the-art of soft computing techniques and their applications, which have greatly influenced the progression of this significant realm of energy. Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961073
Volume :
12
Issue :
6
Database :
Complementary Index
Journal :
Energies (19961073)
Publication Type :
Academic Journal
Accession number :
135682204
Full Text :
https://doi.org/10.3390/en12061049