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    실내 온도제어 시스템에 대한 객체지향 시뮬레이션 = Object orient simulation for a zone temperature control system

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    https://www.riss.kr/link?id=E807314

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This paper addresses a Simulink-based object orient simulation for an adaptive fuzzy HVAC zone temperature control system, which gives high flexibility and easiness of system reconfiguration and verification with minimum program codings. On the Simulink window, HVAC system components are modelled and blocked independently of each other, then they are connected one another to be the entire HVAC system. To solve the nonlinearty and uncertainty problems of HVAC system, Takagi-Sugeno type adaptive fuzzy controller is used. With simulation results it was verified that the addressed control system had desirable zone temperature control performance against system parameter variations and disturbances.
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    This paper addresses a Simulink-based object orient simulation for an adaptive fuzzy HVAC zone temperature control system, which gives high flexibility and easiness of system reconfiguration and verification with minimum program codings. On the Simuli...

    This paper addresses a Simulink-based object orient simulation for an adaptive fuzzy HVAC zone temperature control system, which gives high flexibility and easiness of system reconfiguration and verification with minimum program codings. On the Simulink window, HVAC system components are modelled and blocked independently of each other, then they are connected one another to be the entire HVAC system. To solve the nonlinearty and uncertainty problems of HVAC system, Takagi-Sugeno type adaptive fuzzy controller is used. With simulation results it was verified that the addressed control system had desirable zone temperature control performance against system parameter variations and disturbances.

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    목차 (Table of Contents)

    • 1. 서론
    • 2. 시스템 모델링
    • 3. 적응퍼지 제어기 설계
    • 3.1 시스템 동특성
    • 3.2 퍼지 규칙
    • 1. 서론
    • 2. 시스템 모델링
    • 3. 적응퍼지 제어기 설계
    • 3.1 시스템 동특성
    • 3.2 퍼지 규칙
    • 4. 시뮬레이션 결과
    • 5. 결론
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    • 참고문헌
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