模糊辨识在隧道纵向式通风控制中的应用

纵向式通风是利用射流风机的推力将新鲜空气从隧道一端送入，使污染物从另一端排出，以此保证隧道内的环境质量。但由此产生的能耗使得隧道运营成本巨大，所以需要一种合适的控制策略来控制射流风机的开启台数，使得在隧道内污染物浓度不超过规定值的前提下，开启的风机数量最少，从而达到节能的目的。将模糊辨识应用到隧道通风控制中，基于模糊C均值聚类和递推最小二乘法的原理，采用T-S模型模糊辨识方法对隧道通风系统进行了辨识；采用已辨识系统来预测隧道下一采样时刻的污染物浓度；优化开启的风机台数并将其作为控制量。仿真结果表明了该方法的有效性。

Application of fuzzy identification to road tunnel longitudinal venti-lation control

The longitudinal ventilation is to use the thrust of jet fans to bring the fresh air to the road tunnel. It can ensure the environmental quality in the tunnel. However, its energy consumption makes the cost of tunnel operation unacceptably. So it needs to adopt a proper control strategy to control the switch of jet fans to decrease the concentration of pollutant below the required level and to minimize electrical power consumption for cost-effective simultaneously. In this research, a fuzzy identification control algorithm is applied in the ventilation control. A fuzzy identification based on T-S model is used to identify the road tunnel ventilation system, which includes fuzzy c-means clustering algorithm for identifying the antecedent parameters and recursive least square method used to identify its consequent part. The pollutant concentration in the next sampling is predicted by the identified system. The minimal of fans should be calculated.The simulation results demonstrate the effectiveness of the proposed control methods.