关键词: 城市综合管廊, 模糊PID, 卡尔曼滤波, 信息融合

Abstract: The ventilation system of urban utility tunnel is the key to ensure the safe operation of tunnel. As  the ventilation system with high noise, multivariable, nonlinear and time-varying delay, a fuzzy PID control algorithm is em-ployed to upgrade ventilation system performance. First, the Kalman filter and multi-sensor information fusion technology are applied to process the collected data. Then, the fuzzy parameter self-tuning control algorithm is adopted to adjust the parameters of PID to achieve the intelligent control for air volume. The simulation results show that the response speed, steady state accuracy and overshoot of the control algorithm are much better than the conventional PID control, which provides a reliable guarantee for safety, stable and efficient operation of urban utility tunnel.

Key words:  Urban utility tunnel, fuzzy PID, Kalman filter, information fusion