Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10257699" target="_blank" >RIV/61989100:27240/25:10257699 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/25:10257699
Result on the web
<a href="https://www.nature.com/articles/s41598-025-96621-3" target="_blank" >https://www.nature.com/articles/s41598-025-96621-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-025-97070-8" target="_blank" >10.1038/s41598-025-97070-8</a>
Alternative languages
Result language
angličtina
Original language name
Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance
Original language description
Switched reluctance motors (SRMs) are favored in industrial applications for their durability, efficiency, and cost-effectiveness, yet face challenges such as torque ripple and nonlinear magnetic behavior that limit their precision in control tasks. To address these issues, this work introduces a novel hybrid adaptive ant lion optimization (HAALO) algorithm, combined with PI and FOPID controllers, to improve SRM performance. The HAALO algorithm enhances traditional ant lion optimization by integrating adaptive mutation and elite preservation techniques for dynamic real-time control, optimizing both torque ripple and speed regulation. Simulation results demonstrate the superiority of the HAALO-optimized controllers over conventional methods, showing faster convergence and enhanced control accuracy. This study provides a new hybrid optimization method that significantly advances SRM control, offering efficient solutions for high-performance applications.
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
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Scientific Reports
ISSN
2045-2322
e-ISSN
2045-2322
Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
37
Pages from-to
1-37
UT code for WoS article
001468488100015
EID of the result in the Scopus database
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