Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10606
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dc.contributor.authorPavlica, Vladimiren
dc.contributor.authorPetrovacki D.en
dc.date.accessioned2020-03-03T14:40:27Z-
dc.date.available2020-03-03T14:40:27Z-
dc.date.issued1998-12-01en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/10606-
dc.description.abstractThe paper presents an application of the PID-fuzzy hybrid controller on two laboratory experimental plants. Level and temperature controls are observed. Identified models were used for tuning of PID controller. In the presence of disturbance, PID control results with overshoot and long recovery time. In order to reduce the computational efforts, Sugeno type fuzzy controller was used as fuzzy compensator. The rule base and the membership functions in fuzzy compensator were simultaneously optimized by genetic algorithm. Experimental results with hybrid control are presented.en
dc.relation.ispartofIEEE Conference on Control Applications - Proceedingsen
dc.titleApplication of PID-fuzzy hybrid controlleren
dc.typeConference Paperen
dc.identifier.scopus2-s2.0-0032293009en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0032293009en
dc.relation.lastpage632en
dc.relation.firstpage629en
dc.relation.volume1en
item.fulltextNo Fulltext-
item.grantfulltextnone-
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