6533b839fe1ef96bd12a5ce2
RESEARCH PRODUCT
Adaptive type-2 fuzzy control of non-linear systems
Galluzzo MoseCosenza Bartolomeosubject
Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemAdaptive controlAdaptive algorithmUncertaintyFuzzy control systemFuzzy logicType-2 fuzzy logic controlControl theoryNon linear systems Adaptive control.Control systemRobust controlEnergy sourceMathematicsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-11-01 | 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems |