PID and fuzzy logic optimized controller for temperature control in a cavity of refrigeration

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.