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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578480
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dc.contributor.authorNur Sakinah Abdul Aziz (UITM)
dc.contributor.authorMazidah Tajjudin (UITM)
dc.contributor.authorRamli Adnan (UITM)
dc.date.accessioned2023-11-06T03:02:27Z-
dc.date.available2023-11-06T03:02:27Z-
dc.date.issued2017-07
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:115960
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578480-
dc.descriptionFuzzy Logic is a popular method to tune a PID controller. By using Fuzzy Logic, the PID is tuned automatically based on information of output error, which is better than other tuning rule methods. Fuzzy Logic Control will tune gains of PID controller by using a set of fuzzy rules designed specifically for that. However, specific transient requirements of the process output cannot be assigned to the controller. This research proposes a new method to overcome this problem by using a reference model. Step input from the reference model that contains the desired response information will be compared against the actual output. The reference model can be pre-selected by the user as desired. This study was simulated on a steam temperature process model while few sets of first-order model were used as reference. The results showed that the proposed Fuzzy PID controller with reference model provides better performance with perfect tracking during transient and steady-state.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-S-7
dc.rightsUKM
dc.subjectComponent
dc.subjectPID controller
dc.subjectReference model
dc.subjectSelf-tuning fuzzy control
dc.titleDesign of perfect tracking self-tuning fuzzy pid controller with reference model
dc.typeJournal Article
dc.format.volume25
dc.format.pages179-188
dc.format.issueSpecial Issue
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