Title:	Robust Design Optimization of Electrical Machines and Devices
Authors:	Orosz, Tamás Pánek, David Rassölkin, Anton Kuczmann, Miklos
Citation:	OROSZ, T. PÁNEK, D. RASSÖLKIN, A. KUCZMANN, M. Robust Design Optimization of Electrical Machines and Devices . Electronics, 2022, roč. 11, č. 9, s. 1-4. ISSN: 2079-9292
Issue Date:	2022
Publisher:	MDPI
Document type:	článek article
URI:	2-s2.0-85129160582 http://hdl.handle.net/11025/51483
ISSN:	2079-9292
Keywords in different language:	robust design;optimization;electric machines;electro-mechanical devices
Abstract in different language:	The article introduces a Special Issue (SI) of the journal Electronica that contains fourteen chosen articles from robust design optimization of electrical machines and devices. Optimization is essential for the research and design of electro-mechanical devices, especially electrical machines. Finding the optimal solutions may lead to cheaper, more economical products, faster and more efficient production, or more sustainable solutions. However, optimizing such a complex system as an electrical machine is a computationally expensive optimization problem, where many physical domains should be considered together. Practical design needs to consider the electrical device’s design parameters; it should be insensitive to parameter changes or manufacturing tolerances. This Special Issue focused on papers showing how modern artificial intelligence (AI) tools can be used for robust design optimization of electric machines and electrical devices, how these tools can be tested, or the correctness of the result validated.
Rights:	© authors
Appears in Collections:	Články / Articles (RICE) Články / Articles (KEP) OBD

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