Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/4982
DC FieldValueLanguage
dc.contributor.authorNelendran Pillayen_US
dc.contributor.authorPoobalan Govenderen_US
dc.date.accessioned2023-09-15T12:49:30Z-
dc.date.available2023-09-15T12:49:30Z-
dc.date.issued2007-09-
dc.identifier.citationNelendran Pillay and Poobalan Govender, 2007. A particle swarm optimization approach for model independent tuning of PID control loops. AFRICON 2007. Presented at: AFRICON 2007. doi:10.1109/afrcon.2007.4401521en_US
dc.identifier.isbn9781424409877-
dc.identifier.isbn142440987X-
dc.identifier.urihttps://hdl.handle.net/10321/4982-
dc.description.abstractThe paper proposes a model independent tuning technique that yields optimal proportional-integral-derivative parameters for a range of typical process control loops. The proposed tuning technique utilizes the particle swarm optimization algorithm to generate optimal tuning parameters. The PSO tuning method is applied to typical process models. Comparisons are made between the proposed PSO technique and other conventional methods. ©2007 IEEE.en_US
dc.format.extent7 pen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofAFRICON 2007en_US
dc.subjectParticle swarm optimizationen_US
dc.subjectTuningen_US
dc.subjectPID controlen_US
dc.subjectControl loopsen_US
dc.subjectProcess modelsen_US
dc.titleA particle swarm optimization approach for model independent tuning of PID control loopsen_US
dc.typeConferenceen_US
dc.date.updated2023-09-12T17:09:57Z-
dc.identifier.doi10.1109/afrcon.2007.4401521-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.openairetypeConference-
item.cerifentitytypePublications-
Appears in Collections:Research Publications (Engineering and Built Environment)
Files in This Item:
File Description SizeFormat
IEEE Copyright clearance.docxCopyright Clearance227.39 kBMicrosoft Word XMLView/Open
Pillay_Govender_2007.pdfArticle861.04 kBAdobe PDFView/Open
Show simple item record

Page view(s)

155
checked on Dec 22, 2024

Download(s)

68
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.