An Optimal Control Method of Long Tunnel Ventilation Based on Variable Domain Fuzzy Control

In order to make a comfortable and safe driving environment for passers in the tunnel, designers need to reduce CO pollutants and visibility indicators to an appropriate level. Road tunnel ventilation is an uncertainty and large time delay system, and it's very difficult to obtain an exact mathematical model. In addition, the traditional fuzzy control (FLC) method is often unable to reduce the concentration of pollutants effectively, which also caused unnecessary waste of ventilation fans. In order to solve the above problems, an optimized fuzzy control is proposed in the article. The FLC was optimally redesigned using the particle swarm algorithm, which is stochastic global search method. This control method is realized by establish the mathematical model of tunnel air volume and analysis the performance indicators in the tunnel. In this way, the fuzzy controller input and the output field are dynamically adjusted to improve the tunnel environment parameters. The simulation and experiment for this new fuzzy control law to be applied in road tunnel ventilation system are conducted. The simulation and experiment showed that the improved method is better and it also cost less energy compared to the traditional fuzzy control method. What's more, this new method is more suitable for fast response of signal transmission in the road tunnel.