Refrigerator temperature control with soft computing

Article type: Research Article

Authors: Kang, Geuntaek | Lee, Wonchang | Kang, Yun-Seog | Jeong, Seong-Wook | Kim, Jae-In | Lee, Hong-Won

Affiliations: Department of Electronics Engineering, Pukyong National University, Daeyeon-Dong, Nam-Gu, Pusan, 608-737, Korea. Tel.: +82 51 620 6464; Fax: +82 51 628 7433; E-mail: [email protected] | Samsung Electronics Co. Ltd, Paldal-Gu, Suwon, Korea

Abstract: The soft computing methods are used for the control of refrigerator temperature. An axis having blades is introduced in the refrigerator compartment to control the direction of cold air, and the directions of the blades are controlled by a neural networks controller so that more cold air is sent where the temperature is high in the refrigerator compartment. The neural networks controller is taught by a TSK fuzzy supervisor. The TSK fuzzy supervisor has the form of TSK fuzzy model. For the identification of fuzzy sets parameters in TSK fuzzy models, a new method made by combining the genetic algorithm with the complex method is suggested. With the new method, more optimal parameters of fuzzy sets can be searched more speedily.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 6, no. 1, pp. 161-170, 1998