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정태상,민영봉,문경규 (사) 한국생물환경조절학회 2001 시설원예‧식물공장 Vol.10 No.1
This study was carried out to develop a fuzzy control technique of ventilation window for control-ling a temperature in a greenhouse. To reduce the fuzzy variables, the inside air temperature slop wastaken as one of fuzzy variables, because the inside air temperature variation of a greenhouse by ven-tilation at the same window aperture is affected by the difference between inside and outside air tem-perature, outside wind speed and the wind direction. Therefore, the antecedent variables for fuzzyalgorithm were used the control error and its slop, which was same value as the inside air tempera-ture slop during the control period, and the conclusion variable was used the window aperture open-ing rate. Through the basic and applicative control experiment with the control period of 3 minutes,the optimum ranges of fuzzy variables were decided. The control error and its slop were taken as 3and 1.5 times compared with target error in steady state, and the window opening rate were taken as30% of full size of the window aperture. To evaluate the developed fuzzy algorithm in which the opti-mized 19 rules of fuzzy production were used, the performances of fuzzy control and PID control werecompared. The temperature control errors by the fuzzy control and PID control were lower than1.3oC and 2.2oC respectively. The accumulated operating size of the window, the number of operatingand the number of inverse operating for the fuzzy control were 0.4 times, 0.5 times and 0.3 times ofthose compared with the PID control. Therefore, the fuzzy control can operate the window moresmooth and reduce the operating energy by 1/2 times of PID control.