Control of the road tunnel CO density by a feedforward algorithm

摘要

For a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution below the required level. To control the tunnel pollution, a closed loop control algorithm may be used. A feedforward prediction algorithm and a cascade control algorithm were developed to regulate the CO level in a tunnel. The feedforward prediction algorithm composed of a traffic estimation algorithm and a CO density prediction algorithm, and the cascade control algorithm composed of a jet fan control algorithm and an air velocity setpoint algorithm. The verification of control algorithms was carried out by dynamic models developed from actual tunnel data. Simulation results showed that control algorithms developed for this research may be effective for the control of the tunnel ventilation system. Control results from the developed algorithm were compared with those from the only cascade control algorithm was applied. Mean control error from developed control algorithm was similar to cascade control algorithm and total operating time of jet fans was decreased by 22%. Therefore, it may be concluded that control algorithms developed for this research may be effectively used for the energy savings and the effective controls of the longitudinal ventilation system in a tunnel.