dc.contributor.author |
Siettos, CI |
en |
dc.contributor.author |
Kiranoudis, CT |
en |
dc.contributor.author |
Bafas, GV |
en |
dc.date.accessioned |
2014-03-01T01:14:22Z |
|
dc.date.available |
2014-03-01T01:14:22Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.issn |
0737-3937 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/13028 |
|
dc.subject |
Fluidized bed dryers |
en |
dc.subject |
Fuzzy logic controllers |
en |
dc.subject |
Input-output linearization |
en |
dc.subject |
Non-linear control |
en |
dc.subject.classification |
Engineering, Chemical |
en |
dc.subject.classification |
Engineering, Mechanical |
en |
dc.subject.other |
Closed loop control systems |
en |
dc.subject.other |
Control system synthesis |
en |
dc.subject.other |
Fluidized beds |
en |
dc.subject.other |
Fuzzy control |
en |
dc.subject.other |
Linearization |
en |
dc.subject.other |
Nonlinear control systems |
en |
dc.subject.other |
Process control |
en |
dc.subject.other |
Three term control systems |
en |
dc.subject.other |
Fluidized bed dryers |
en |
dc.subject.other |
Input output linearization |
en |
dc.subject.other |
Dryers (equipment) |
en |
dc.subject.other |
control method |
en |
dc.subject.other |
fluidized bed |
en |
dc.subject.other |
fuzzy reasoning |
en |
dc.title |
Advanced control strategies for fluidized bed dryers |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1080/07373939908917683 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1080/07373939908917683 |
en |
heal.language |
English |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
Generating the best possible control strategy comprises a necessity for industrial processes, by virtue of product quality, cost reduction and design simplicity. Three different control approaches, namely an Input-Output linearizing, a fuzzy logic and a PID controller, are evaluated for the control of a fluidized bed dryer, a typical non-linear drying process of wide applicability. Based on several closed loop characteristics such as settling times, maximum overshoots and dynamic performance criteria such as IAE, ISE and ITAE, it is shown that the Input-Ouput linearizing and the fuzzy logic controller exhibit a better performance compared to the PID controller tuned optimally with respect to the IAE, for a wide range of disturbances; yet, the relevant advantage of the fuzzy logic over the conventional nonlinear controller issues upon its design simplicity. Typical load rejection and set-point tracking examples are given to illustrate the effectiveness of the proposed approach.Generating the best possible control strategy comprises a necessity for industrial processes, by virtue of product quality, cost reduction and design simplicity. Three different control approaches, namely an Input-Output linearizing, a fuzzy logic and a PID controller, are evaluated for the control of a fluidized bed dryer, a typical non-linear drying process of wide applicability. Based on several closed loop characteristics such as settling times, maximum overshoots and dynamic performance criteria such as IAE, ISE and ITAE, it is shown that the Input-Output linearizing and the fuzzy logic controller exhibit a better performance compared to the PID controller tuned optimally with respect to the IAE, for a wide range of disturbances; yet, the relevant advantage of the fuzzy logic over the conventional nonlinear controller issues upon its design simplicity. Typical load rejection and set-point tracking examples are given to illustrate the effectiveness of the proposed approach. |
en |
heal.publisher |
Marcel Dekker Inc, New York, NY, United States |
en |
heal.journalName |
Drying Technology |
en |
dc.identifier.doi |
10.1080/07373939908917683 |
en |
dc.identifier.isi |
ISI:000083319900017 |
en |
dc.identifier.volume |
17 |
en |
dc.identifier.issue |
10 |
en |
dc.identifier.spage |
2271 |
en |
dc.identifier.epage |
2291 |
en |