A Hybrid Bacterial Foraging - PSO Algorithm Based Tuning of Optimal FOPI Speed Controller
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86081156" target="_blank" >RIV/61989100:27240/11:86081156 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Hybrid Bacterial Foraging - PSO Algorithm Based Tuning of Optimal FOPI Speed Controller
Original language description
Abstract: Bacterial Foraging Optimization Algorithm (BFOA) has recently emerged as a very powerful technique for real parameter optimization. In order to overcome the delay in optimization and to further enhance the performance of BFO, this paper proposed a new hybrid algorithm combining the features of BFOA and Particle Swarm Optimization (PSO) for tuning a Fractional order speed controller in a Permanent Magnet Synchronous Motor (PMSM) Drive. Computer simulations illustrate the effectiveness of the proposed approach compared to that of basic versions of PSO and BFO.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Montanistica Slovaca
ISSN
1335-1788
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
1
Country of publishing house
SK - SLOVAKIA
Number of pages
11
Pages from-to
55-65
UT code for WoS article
000300111400008
EID of the result in the Scopus database
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