Title :
PID and fuzzy logic optimized controller for temperature control in a cavity of refrigeration
Author :
Arfaoui, Jouda ; Feki, Elyes ; Mami, Abdelkader
Author_Institution :
Nat. Sch. of Eng. of Tunis PB37, Lab. of Anal., Tunis, Tunisia
Abstract :
Genetic algorithm has been widely used in the various optimal problems. Its application in the fuzzy control is still limited by factors such as local optimal and premature convergence. Therefore, this paper proposes an alternative method for designing fuzzy logic controller for temperature control inside the cavity of refrigeration. The control strategy was applied to a third-order discrete state space system, which computes the internal air temperature according to the temperature at the level of the evaporator exchanger. The system was obtained by linearization of a pseudo bond graph model of thermal transfers inside the refrigeration cavity. A performance comparison was carried out with PID controller to show the effectiveness of the proposed method.
Keywords :
atmospheric temperature; bond graphs; fuzzy control; genetic algorithms; linearisation techniques; refrigeration; state-space methods; temperature control; three-term control; PID controller; evaporator exchanger; fuzzy logic optimized controller; genetic algorithms; internal air temperature; local optimal; premature convergence; pseudo bond graph model linearization; refrigeration cavity; temperature control; thermal transfers; third-order discrete state space system; Cavity resonators; Fuzzy logic; Genetic algorithms; Optimization; Sociology; Statistics; Temperature control; PID controller; energy saving; fuzzy logic control; genetic algorithm; optimization; refrigeration cavity; temperature control;
Conference_Titel :
Renewable Energy Congress (IREC), 2015 6th International
Conference_Location :
Sousse
DOI :
10.1109/IREC.2015.7110951
