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dc.contributor.authorMohd Sazli, Saad
dc.contributor.authorHishamuddin, Jamaluddin
dc.contributor.authorIntan Zaurah, Mat Darus
dc.date.accessioned2016-11-28T04:17:51Z
dc.date.available2016-11-28T04:17:51Z
dc.date.issued2012
dc.identifier.citationInternational Journal of Innovative Computing, Information and Control, vol.8 (11), 2012, pages 7761-7779en_US
dc.identifier.issn1349 4198
dc.identifier.urihttp://www.ijicic.org/ijicic-11-07073.pdf
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/44142
dc.descriptionLink to publisher's homepage at http://www.ijicic.orgen_US
dc.description.abstractThis paper presents the implementation of PID controller tuning using two modern heuristic techniques which are differential evolution (DE) and genetic algorithm (GA). The optimal PID control parameters are applied for a high order system, system with time delay and non-minimum phase system. The performance of these techniques is evaluated by setting their objective functions as mean square error (MSE) and integral absolute error (IAE). The reliability between DE and GA in consistently maintaining minimum MSE is studied. The performance of the PID control systems tuned using GA and DE methods are also compared with Ziegler-Nichols method.en_US
dc.language.isoenen_US
dc.publisherICIC Internationalen_US
dc.subjectDifferential evolutionen_US
dc.subjectGenetic algorithmen_US
dc.subjectMean square erroren_US
dc.subjectPID controlleren_US
dc.subjectZiegler-nicholsen_US
dc.titleImplementation of PID controller tuning using differential evolution and genetic algorithmsen_US
dc.typeArticleen_US
dc.contributor.urlintan@fkm.utm.myen_US


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