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Control of the Road Tunnel CO Density by a Feedforward Algorithm

机译:通过前馈算法控制道路隧道CO密度

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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.
机译:对于长路隧道,可以使用隧道通风系统,以减少低于所需水平的污染。为了控制隧道污染,可以使用闭环控制算法。开发了一种前馈预测算法和级联控制算法以调节隧道中的CO电平。由交通估计算法和CO密度预测算法组成的前馈预测算法,以及由喷射风扇控制算法和空速设定点算法组成的级联控制算法。通过从实际隧道数据开发的动态模型进行控制算法的验证。仿真结果表明,为该研究开发的控制算法可能对隧道通风系统的控制有效。

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