Review of soft computing models in design and control of rotating electrical machines
Adrienn Dineva, Amir Mosavi, Sina Ardabili, István Vajda, Shahab Shamshirband, Timon Rabczuk, Kwok‐wing Chau
Abstract
Rotating electrical machines are the electromechanical energy convertors 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 interests in energy management. Soft computing methods are known as important 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 management systems are highly relying on the advancement of soft computing techniques used for rotating electrical machines. This article presents the state of the art of soft computing techniques and their applications that have greatly influenced and contributed to the advancement of this important realm of energy. Through a novel taxonomy of techniques and applications the most important advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines.