Development of Fuzzy Controller for Air Conditioning of Grain Bin

곡물빈용 공기조화장치의 퍼지제어기 개발

  • 최영수 (전남대학교 생물산업공학과) ;
  • 문대식 (전남대학교 생물산업공학과) ;
  • 정종훈 (전남대학교 생물산업공학과)
  • Published : 2002.06.01


Temperature and humidity are the most important factors and should be effectively controlled for the cold storage of graius. Fuzzy logic can be easily implemented to the MIMO(Multi-Input Multi-Output) control systems. For the cold storage in grain bin, fuzzy logic was applied to an air conditioning system. The capacities of the grain bin and the air conditioner are 80 tons and 30㎾, respectively. Also, the target values of temperature and relative humidity in outlet duct of the air conditioner were 8$\^{C}$ and 75%, respectively. In order to control temperature and relative humidity of air, a damper in inlet duct was manipulated for temperature control and a heater was used for humidity control. Temperature deviation and change of temperature deviation were used as input parameters for the fuzzy system. Humidity was only considered as a load. The experimental results showed that the controlled temperature of exhausted air was maintained at 8$\pm$2$\^{C}$. Relative humidity of the air was also controlled at the target relative humidity of 50∼80%.


  1. Gates, R.S., Chao, K. and Sigrimis, N. (2001) Identifying design parameters for fuzzy control of staged ventilation control systems. Computers and electronics in agriculture, 31, 61-74
  2. Morimoto, T., Suzuki, J. and Hashimoto, Y. (1997) Optimization of a Fuzzy Controller for Fruit Storage Using Neural Networks and Genetic Algorithms. Engineering applications of artificial intelligence, 10, 453-456
  3. Patrick P.K.Lim and Natalie R. Spooner (1995) Climatic control of a storage chamber using fuzzy logic. IEEE, 141-144
  4. 최병준, 한상완, 홍석교 (1997) 퍼지 로직 제어기를 이용한 냉장고 온도 제어 방법. 한국자동제어학술회의논문집, 12, 28-31
  5. 고학균, 조성인, 양길모 (1999) 퍼지논리를 이용한 저온저장고의 온도제어시스템 개발. 한국농업기계학회지, 25 399-406