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http://dx.doi.org/10.5307/JBE.2003.28.2.117

Development of Neuro-Fuzzy System for Cold Storage Facility  

양길모 (Ph. D. School of Bioresources and Material Engineering, Seoul National University)
고학균 (Ph. D. School of Bioresources and Material Engineering, Seoul National University)
홍지향 (Ph. D. School of Bioresources and Material Engineering, Seoul National University)
Publication Information
Journal of Biosystems Engineering / v.28, no.2, 2003 , pp. 117-126 More about this Journal
Abstract
This study was conducted to develop precision control system fur cold storage facility that could offer safe storage environment for green grocery. For that reason of neuro-fuzzy control system with learning ability algorithm and single chip neuro-fuzzy micro controller was developed for cold storage facility. Dynamic characteristics and hunting of neuro-fuzzy control system were far superior to on-off and fuzzy control system. Dynamic characteristics of temperature were faster than on-off control system by 1,555 seconds(123% faster) and fuzzy control system by 460 seconds(36.4% faster). When system was arrived at steady state. hunting was ${\pm}$0.5$^{\circ}C$ in on-off control system, ${\pm}$0.4$^{\circ}C$ in fuzzy control system, and ${\pm}$0.3$^{\circ}C$ in neuro-fuzzy control system. Hunting of humidity and wind velocity was also controlled precisely by 70 to 72.5% and 1m/s For storage experiment with onion, characteristics of neuro-fuzzy control system were tested. Dynamic characteristics of neuro-fuzzy control system made cold storage facility conducted precooling ability and minimized hunting.
Keywords
Cold storage facility; Cold storage; Neuro-Fuzzy; Fuzzy; AS; AVR; EEV;
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