Refrigerator Temperature Control with Soft Computing

摘要

In this paper, an axis having 6 blades is introduced in the refirgerator room and controlled with a neural networks controller so that more cold air can be sent to the warmer area in the refrigerator room and the fluctuation of temperatures in the refrigerator room is minimized. The neural networks are learned by a TSK fuzzy supervisor constructed by using genetic algorithms.