Robust design optimization and emerging technologies for electrical machines: challenges and open problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43960583" target="_blank" >RIV/49777513:23220/20:43960583 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/10/19/6653" target="_blank" >https://www.mdpi.com/2076-3417/10/19/6653</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/APP10196653" target="_blank" >10.3390/APP10196653</a>
Alternative languages
Result language
angličtina
Original language name
Robust design optimization and emerging technologies for electrical machines: challenges and open problems
Original language description
The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical machines. However, from the mathematical point of view, these problems belong to the most general branch of non-linear optimization problems, where these tools cannot guarantee that a global minimum is found. The numerical cost and the accuracy of these algorithms depend on the initialization of their internal parameters, which may themselves be the subject of parameter tuning according to the application. In practice, these optimization problems are even more challenging, because engineers are looking for robust designs, which are not sensitive to the tolerances and the manufacturing uncertainties. These criteria further increase these computationally expensive problems due to the additional evaluations of the goal function. The goal of this paper is to give an overview of the widely used optimization techniques in electrical machinery and to summarize the challenges and open problems in the applications of the robust design optimization and the prospects in the case of the newly emerging technologies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences
ISSN
2076-3417
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
19
Country of publishing house
CH - SWITZERLAND
Number of pages
33
Pages from-to
1-33
UT code for WoS article
000586668400001
EID of the result in the Scopus database
2-s2.0-85092471132