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

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

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 th...

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Bibliographic Details
Main Authors: Adrienn Dineva, Amir Mosavi, Sina Faizollahzadeh Ardabili, Istvan Vajda, Shahaboddin Shamshirband, Timon Rabczuk, Kwok–Wing Chau
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
soft computing
artificial intelligence
machine learning
rotating electrical machines
energy systems
deep learning
electric vehicles
big data
hybrid models
ensemble models
energy informatics
electrical engineering
computational intelligence
data science
energy management
control
electric motor drives
Online Access:http://www.mdpi.com/1996-1073/12/6/1049

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http://www.mdpi.com/1996-1073/12/6/1049

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