Fuzzy Reprogrammable System for Controlling Ventilation in Transportation Tunnels

Tunnel ventilation control is intended to guarantee a safe and comfortable environment for users. The controllers are responsible for managing concerns caused by gases released in the tunnels, such as carbon monoxide, nitrogen oxide, and dust. This study focuses on reconfigurable fuzzy controllers, considering traffic density in order. To lower carbon monoxide levels and smoke opacity, hence improving air quality. The global ventilation system consists of five cascaded reconfigurable fuzzy controllers, a global reconfiguration management block, and a zoning module. The global control system, managed by the reconfiguration approach, ensures real-time corrections and coordination among the different controllers. A reconfigurable fuzzy logic controller (RFLC) was designed to optimise the indoor environment and validated using simulation data. The RFLC was implemented on an FPGA using the Xilinx 14.7 development platform, combining both behavioral and structural VHDL descriptions. The developed system provides a maximum frequency of 91.106 MHz.