Program Development for Detecting Charged Refrigerant Amount in System Air-Conditioner using Fuzzy Algorithm

퍼지 알고리즘을 이용한 시스템 에어컨의 냉매충전량 감지 프로그램 개발

  • Tae S. J. (System Appliances Division, Samsung Electronics Co., Ltd.) ;
  • Choi C. S. (Graduate School, School of Mechanical Engineering, Sungkyunkwan University) ;
  • Kim H. M. (School of Mechanical engineering, Sungkyunkwan University) ;
  • Cho K. (School of Mechanical engineering, Sungkyunkwan University) ;
  • Moon J. M. (System Appliances Division, Samsung Electronics Co., Ltd.) ;
  • Kim J. Y. (System Appliances Division, Samsung Electronics Co., Ltd.) ;
  • Kwon H. J. (System Appliances Division, Samsung Electronics Co., Ltd.)
  • 태상진 (삼성전자 시스템가전사업부) ;
  • 최창식 (성균관대학교 대학원) ;
  • 김훈모 (성균관대학교 기계공학부) ;
  • 조금남 (성균관대학교 기계공학부) ;
  • 문제명 (삼성전자 시스템가전사업부) ;
  • 김종엽 (삼성전자 시스템가전사업부) ;
  • 권형진 (삼성전자 시스템가전사업부)
  • Published : 2006.02.01

Abstract

This study developed a program for detecting charged refrigerant amount in system air-conditioner. System air-conditioner is an air-conditioning system with multiple indoor units. Due to the complexity of the system, it is more difficult to detect the refrigerant amount charged in the system air-conditioner than in a general single air-conditioner. Experiments were performed for a 6 HP outdoor unit with 3 indoor units in a psychrometric calorimeter. The experimental amount of the charged refrigerant was ranged from $60\%\;to\;140\%\;with\;10\%$ increasement. Fuzzy algorithm was employed for detecting the charged refrigerant amount in the system air-conditioner. The experimental data were used for curve-fitting for the general ranges of indoor and outdoor temperature conditions. Membership function was determined for the whole ranges of experimentally measured data and rule-bases were defined for each charged refrigerant amount. Developed program successfully predicted the measured data within $10\%$ resolution range.

Keywords

References

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