DocumentCode :
2737357
Title :
Adaptive type-2 fuzzy control of non-linear systems
Author :
Mosè, Galluzzo ; Bartolomeo, Cosenza
Author_Institution :
Dipt. di Ing. Chimica dei Processi e dei Mater., Univ. degli Studi di Palermo, Palermo, Italy
Volume :
2
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
705
Lastpage :
709
Abstract :
The paper describes the development of two different type-2 adaptive fuzzy logic controllers and their use for the control of a non linear system that is characterized by the presence of bifurcations and parameter uncertainty. Although a type-2 fuzzy logic controller is able to handle the non linearities and the uncertainties present in a system, its robustness and effectiveness can be increased by the use of an opportune adaptive algorithm. A simulation study was conducted to compare the behavior of adaptive controllers with that of simple type-1 and type-2 fuzzy logic controllers. The system to be controlled, used for the simulation, is a continuous bioreactor for the treatment of mixed wastes in which a culture of Pseudomonas Putida is carried out while phenol and glucose are carbon and energy sources. From simulations results it can be seen that both adaptive controllers, but in particular the self tuning controller, have a better performance being able to eliminate oscillations that are present with basic fuzzy controllers.
Keywords :
adaptive control; control nonlinearities; fuzzy control; robust control; self-adjusting systems; uncertain systems; Pseudomonas Putida; bifurcations; carbon sources; energy sources; nonlinear systems; parameter uncertainty; system robustness; type-2 adaptive fuzzy logic controllers; Adaptive control; Bifurcation; Control systems; Fuzzy control; Fuzzy logic; Linear systems; Linearity; Programmable control; Uncertain systems; Uncertainty; adaptive control; non linear systems; type-2 fuzzy logic control; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358311
Filename :
5358311
Link To Document :
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