Journal Article


Review of soft computing models in design and control of rotating electrical machines

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.

Attached files

Authors

Dineva, Adrienn
Mosavi, Amir
Ardabili, Sina Faizollahzadeh
Vajda, Istvan
Shamshirband, Shahaboddin
Rabczuk, Timon
Chau , Kwok-Wing

Oxford Brookes departments

Faculty of Technology, Design and Environment\School of the Built Environment

Dates

Year of publication: 2019
Date of RADAR deposit: 2019-04-16


Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License


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