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Theoretical analysis of Longitudinal Ventilation System in a Road Tunnel for Predictive Control based on Inertia Effect

机译:基于惯性效应的预测控制预测控制纵向通风系统的理论分析

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Speed control of longitudinal ventilation systems in road tunnels is being combined with typical model predictive control (MPC) strategies which may bring huge energy saving potential to the system. Theoretical analysis of the inertia effect is presented based on the energy equation of one dimensional incompressible unsteady flow, step response model is chosen to describe the dynamic behaviors of the system. The results show that the effect of jet speed change on CO concentration is nonlinear within fan's economical working range and the settling time of CO level has similar change trend with that of the flow field but is a little longer. The system settling time is longer when jet speed decreases than it increases and is related to the change extent of jet speed. The effect of traffic intensity on CO concentration can be regarded as linear disturbance to the system output. These results may provide useful indexes to control the tunnel ventilation system more economically and lay foundation for the application of predictive control strategy in the system.
机译:道路隧道纵向通风系统的速度控制正在与典型的模型预测控制(MPC)策略相结合,这可能为系统带来巨大的节能潜力。基于一维不可扫描的不稳定流量的能量方程,选择了惯性效应的理论分析,选择了步骤响应模型来描述系统的动态行为。结果表明,风扇经济工作范围内Co浓度的喷射速度变化的效果是非线性的,并且CO水平的沉降时间与流场的变化趋势相似,但稍长。当喷射速度减小而不是增加并且与喷射速度的变化范围有关时,系统稳定时间更长。交通强度对CO浓度的影响可以被视为对系统输出的线性干扰。这些结果可以提供有用的指标,以更经济地控制隧道通风系统,并在系统中应用预测控制策略的应用。

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