REFRIGERATOR TEMPERATURE CONTROL WITH SOFT COMPUTING

The soft computing methods are used for the control of refrigerator te mperature. An axis having blades is introduced in the refrigerator com partment to control the direction of cold ail, and the directions of t he blades are controlled by a neural networks controller so that more cold air is sent where the temperature is high in the refrigerator com partment. The neural networks controller is taught by a TSK fuzzy supe rvisor. The TSK fuzzy supervisor has the form of TSK fuzzy model. For the identification of fuzzy sets parameters in TSK fuzzy model!;, a ne w method made by combining the genetic algorithm with the complex meth od is suggested. With the new method, more optimal parameters of fuzzy sets can be searched more speedily.