Gas discharging system based on fuzzy control

The character of gas moving and air flow in heading laneway of underground coal mine was analyzed. Moreover, conventional double fuzzy control model was found to carry out two work mode, normal ventilation and gas discharging. In order to enhance the learning capabilities of the system to the environment, self-learning fuzzy model for auxiliary fan was built to tackle with normal ventilation and gas discharging problem, and SRD was applied to perform speed adjusting of the system. An experiment platform including DSP and IPM was founded to testify the control strategy. The experiment results showed that the system had a pulse function, achieved an efficient, safe, leaving no gas discharging, and the function of intelligent gas emission system was fine.