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dc.contributor.authorAnguluri, Rajasekhar
dc.contributor.authorAbraham, Ajith
dc.contributor.authorSnášel, Václav
dc.date.accessioned2012-04-04T08:30:19Z
dc.date.available2012-04-04T08:30:19Z
dc.date.issued2011
dc.identifier.citationActa Montanistica Slovaca. 2011, roč. 16, č. 1, s. 55-65.cs
dc.identifier.issn1335-1788
dc.identifier.urihttp://hdl.handle.net/10084/90310
dc.description.abstractBacterial 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.cs
dc.language.isoencs
dc.publisherTechnická univerzita Košice, Fakulta baníctva, ekológie, riadenia a geotechnológiícs
dc.relation.ispartofseriesActa Montanistica Slovacacs
dc.relation.urihttp://actamont.tuke.sk/pdf/2011/n1/08_Anguluri.pdfcs
dc.subjectpermanent magnet synchronous motorcs
dc.subjectfractional order proportional integral (FO-PI) controllercs
dc.subjectchemotaxiscs
dc.subjectPSOcs
dc.subjectintegral time absolute error (ITAE)cs
dc.titleA hybrid bacterial foraging - PSO algorithm based tuning of optimal FOPI speed controllercs
dc.typearticlecs
dc.identifier.locationNení ve fondu ÚKcs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume16cs
dc.description.issue1cs
dc.description.lastpage65cs
dc.description.firstpage55cs
dc.identifier.wos000300111400008


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