Reduction of Unbalance Magnetic Force and Torque Ripple in a Special Permanent Magnet Synchronous Machine by Several Multi-Objective Meta-Heuristic Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10259289" target="_blank" >RIV/61989100:27730/25:10259289 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11244158" target="_blank" >https://ieeexplore.ieee.org/document/11244158</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/OJIES.2025.3632189" target="_blank" >10.1109/OJIES.2025.3632189</a>
Alternative languages
Result language
angličtina
Original language name
Reduction of Unbalance Magnetic Force and Torque Ripple in a Special Permanent Magnet Synchronous Machine by Several Multi-Objective Meta-Heuristic Algorithms
Original language description
Reducing the unbalanced magnetic forces (UMFs) and torque ripple (TR) simultaneously is one of the most vital goals of electrical machines designed for a variety of applications, such as hybrid vehicles. Removing TR is causing vibration free performance as well as UMFs decreasing will increase the life of machine components. Although several quantities impact the mentioned indicators, the first one is type of magnetization. Hence, two conventional magnetization patterns including radial and 9-segment magnetization patterns are thought through. Furthermore, pole arc to pole pitch ratio is extremely influential. Therefore, two functions based on it are determined for UMF and TR. Several magnetization patterns are considered to provide suitable response. They are optimized by multiobjective meta-heuristic optimization algorithms. Three algorithms including Pareto envelope-based selection algorithm II, nondominate sorting genetic algorithm II, and multiobjective particle swarm optimization have been utilized because their performances depend on not only initial guess but also type of problem. Then, the optimization results have been compared. Next, the best machine's dimensions are selected. After that, cogging, reluctance and instantaneous torque, overload capability curve and torque-speed characteristic have been computed. Finally, the temperature impact on either UMF's and torque's average or mentioned indicators is analyzed. It should be noted that the function fitting and optimization process have been done using MATLAB software.
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
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Open Journal of the Industrial Electronics Society
ISSN
2644-1284
e-ISSN
2644-1284
Volume of the periodical
6
Issue of the periodical within the volume
1-10
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
1821-1830
UT code for WoS article
001631855400001
EID of the result in the Scopus database
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