Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18526
DC FieldValueLanguage
dc.contributor.authorTsang, KMen_US
dc.date.accessioned2015-06-23T09:11:53Z-
dc.date.available2015-06-23T09:11:53Z-
dc.date.issued2001-
dc.identifier.citationFuzzy sets and systems, 2001, v. 120, no. 1, p. 169-179en_US
dc.identifier.issn0165-0114-
dc.identifier.urihttp://hdl.handle.net/10397/18526-
dc.description.abstractA normalised fuzzy logic controller is derived for the control of a normalised self-regulating process and fuzzy logic controllers for the control of processes which are deviated from the norm can be obtained by denormalising the normalised fuzzy logic controller. For processes with unknown system dynamics, biased relay feedback tests have been applied and first-order processes with dead time models are fitted to the system output responses. Based on the fitted first-order plus dead time model, a fuzzy logic controller is derived from the normalised fuzzy logic controller based on the approximated time delay, time constant and gain of the fitted model obtained from the biased relay test. For systems having large time delay, fuzzy logic is also included to compensate for the delay which will otherwise make the control loop less stable. Simulation and experimental results are included to demonstrate the effectiveness of the proposed scheme.en_US
dc.description.sponsorshipDepartment of Electrical Engineeringen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofFuzzy Sets and Systemsen_US
dc.subjectAutotuneren_US
dc.subjectDead time compensationen_US
dc.subjectFuzzy logic predictoren_US
dc.subjectProcess controlen_US
dc.subjectRelay testen_US
dc.titleAuto-tuning of fuzzy logic controllers for self-regulating processesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage169-
dc.identifier.epage179-
dc.identifier.volume120-
dc.identifier.issue1-
dc.identifier.doi10.1016/S0165-0114(99)00054-8-
dc.identifier.isiWOS:000167956000012-
dc.identifier.scopus2-s2.0-0035897748-
dc.identifier.rosgroupidr00919-
dc.description.ros2000-2001 > Academic research: refereed > Publication in refereed journal-
Appears in Collections:Journal/Magazine Article
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

SCOPUSTM   
Citations

7
Last Week
0
Last month
0
Citations as of Feb 14, 2020

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
0
Citations as of Feb 12, 2020

Page view(s)

128
Last Week
0
Last month
Citations as of Feb 12, 2020

Google ScholarTM

Check

Altmetric


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