Abstract

For a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution level below the required level. To control the tunnel pollution level, a closed loop control algorithm may be used. The feedforward prediction algorithm and the cascade control algorithm were developed to regulate the CO level in a tunnel. The feedforward prediction algorithm composed of the traffic estimation algorithm and the CO density prediction algorithm, and the cascade control algorithm composed of the jet fan control algorithm and the air velocity setpoint algorithm. The verification of control algorithms was carried out by dynamic models developed from the actual tunnel data. The simulation results showed that control algorithms developed for this study were effective for the control of the tunnel ventilation system.

주제어

#도로터널 환기 시스템   #직렬 제어   #피드포워드 제어   #교통량 추정 알고리즘   #일산화탄소 농도 예측 알고리즘   #제트팬 제어 알고리즘   #풍속 설정 알고리즘  

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참고문헌 (9)

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이 논문을 인용한 문헌 (1)

1. Choi, Yong-Don ; Kang, Yong-Tae ; Kim, Nae-Hyun ; Kim, Man-Hoe ; Park, Kyoung-Kuhn ; Park, Byung-Yoon ; Park, Jin-Chul ; Hong, Hi-Ki 2007. "Recent Progress in Air Conditioning and Refrigeration Research - A Review of Papers Published in the Korean Journal of Air-Conditioning and Refrigeration Engineering in 2004 and 2005 -" 설비공학논문집 = Korean journal of air-conditioning and refrigeration engineering, 19(1): 94~131  원문보기 상세보기