The Modeling of a Long Tunnel Ventilation System and Fuzzy Sliding Mode Controller Design

• Main Authors: Yi-Cheng Chen, 陳奕成
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/32619399315451873318

碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 96 === Recently, the road tunnels were constructed hugely. The importance of ventilation control system is also increased. Because general ventilation control systems for short and small tunnel couldn’t be applied to long road tunnel directly, the ventilation control system must be designed with analytic method to satisfy the requirement for air quality in tunnel. The modeling of the tunnel ventilation system in this study is mainly referred to Heieh Shan tunnel. First, the one-dimension advection diffusion equation was derived to construct the mathematical model of the CO (carbon monoxide,CO) concentration and VI (visibility index,VI) distribution in the tunnel. The variable traffic flow, speed, diffusion coefficient are simulated to obtain the CO distribution in the tunnel. Three controllers include sequence switch, daptive fuzzy sliding mode(AFSMC), and fuzzy sliding mode(FSMC) conrtrollers were proposed to verify the ventilation shafts flow to reduce the CO concentration in the tunnel. In this study, four different CO concentration(60, 70, 80, 90ppm) and visibility index were set as the simulation conditions. From the simulation results, the AFSMC is the best method which can save around 19.4% average power consumption. The average tracking error of the AFSMC is 1.325ppm. According to simulation results, the CO consentration and VI value both could be controlled under the admissive value. The AFSMC controller has best tracking performance and lowest power consumption than FSMC and sequence switch.