Fuzzy control of a fluidized bed dryer

Taprantzis, AV; Siettos, CI; Bafas, GV

dc.contributor.author	Taprantzis, AV	en
dc.contributor.author	Siettos, CI	en
dc.contributor.author	Bafas, GV	en
dc.date.accessioned	2014-03-01T01:12:57Z
dc.date.available	2014-03-01T01:12:57Z
dc.date.issued	1997	en
dc.identifier.issn	0737-3937	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12286
dc.subject	Fluidized bed drying	en
dc.subject	Fuzzy logic	en
dc.subject	Nonlinear process	en
dc.subject	Process control	en
dc.subject.classification	Engineering, Chemical	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Control equipment	en
dc.subject.other	Drying	en
dc.subject.other	Fuzzy control	en
dc.subject.other	Heuristic methods	en
dc.subject.other	Industrial applications	en
dc.subject.other	Mathematical models	en
dc.subject.other	Performance	en
dc.subject.other	Process control	en
dc.subject.other	Fluidized bed dryer	en
dc.subject.other	Nonlinear process	en
dc.subject.other	Dryers (equipment)	en
dc.subject.other	dryers	en
dc.subject.other	fluidized beds	en
dc.subject.other	fuzzy reasoning	en
dc.title	Fuzzy control of a fluidized bed dryer	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/07373939708917244	en
heal.identifier.secondary	http://dx.doi.org/10.1080/07373939708917244	en
heal.language	English	en
heal.publicationDate	1997	en
heal.abstract	Fluidized bed dryers are utilised in almost every area of drying applications and therefore improved control strategies are always of great interest. The nonlinear character of the process, exhibited in the mathematical model and the open loop analysis, implies that a fuzzy logic controller is appropriate because, in contrast with conventional control schemes, fuzzy control inherently compensates for process nonlinearities and exhibits more robust behaviour. In this study, a fuzzy logic controller is proposed; its design is based on a heuristic approach and its performance is compared against a conventional PI controller for a variety of responses. It is shown that the fuzzy controller exhibits a remarkable dynamic behaviour, equivalent if not better than the PI controller, for a wide range of disturbances. In addition, the proposed fuzzy controller seems to be less sensitive to the nonlinearities of the process, achieves energy savings and enables MIMO control.	en
heal.publisher	MARCEL DEKKER INC	en
heal.journalName	Drying Technology	en
dc.identifier.doi	10.1080/07373939708917244	en
dc.identifier.isi	ISI:A1997WJ49500013	en
dc.identifier.volume	15	en
dc.identifier.issue	2	en
dc.identifier.spage	511	en
dc.identifier.epage	537	en