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      퍼지알고리즘을 사용한 냉매압력제어 = Refrigerant Pressure Control by using a Fuzzy Algorithm

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      https://www.riss.kr/link?id=A77027261

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      다국어 초록 (Multilingual Abstract)

      Control methods for a CO₂ air-conditioning system should be different because of CO₂'s unique properties as a refrigerant. Especially, the high-side pressure of a CO₂ system should be controlled for the effective operation of a system. In this study, a fuzzy algorithm was developed for the control of the refrigerant pressure. The refrigerant pressure difference and its slope were used as input variables and the control signal difference for a electronic expansion valve was used as an output variable. The Min-Max method was used as an inference machine and the weight centroid method was used as a defuzzification tool.
      In order to identify the effectiveness of the control algorithm, an initial start-up test, an indoor temperature setpoint step change test, and an outdoor air disturbance test, were performed. Test results showed the good control of a CO₂ air-conditioning system with stable control signals. Therefore the pressure control algorithm developed for this study may be practically applied for the control of an electronic expansion valve.
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      Control methods for a CO₂ air-conditioning system should be different because of CO₂'s unique properties as a refrigerant. Especially, the high-side pressure of a CO₂ system should be controlled for the effective operation of a system. In this s...

      Control methods for a CO₂ air-conditioning system should be different because of CO₂'s unique properties as a refrigerant. Especially, the high-side pressure of a CO₂ system should be controlled for the effective operation of a system. In this study, a fuzzy algorithm was developed for the control of the refrigerant pressure. The refrigerant pressure difference and its slope were used as input variables and the control signal difference for a electronic expansion valve was used as an output variable. The Min-Max method was used as an inference machine and the weight centroid method was used as a defuzzification tool.
      In order to identify the effectiveness of the control algorithm, an initial start-up test, an indoor temperature setpoint step change test, and an outdoor air disturbance test, were performed. Test results showed the good control of a CO₂ air-conditioning system with stable control signals. Therefore the pressure control algorithm developed for this study may be practically applied for the control of an electronic expansion valve.

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      목차 (Table of Contents)

      • ABSTRACT
      • 1. 서론
      • 2. 시스템 모델
      • 3. 냉매압력제어
      • 4. 제어성능분석
      • ABSTRACT
      • 1. 서론
      • 2. 시스템 모델
      • 3. 냉매압력제어
      • 4. 제어성능분석
      • 5. 결론
      • 참고문헌
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