基于模糊PID控制算法的管廊通风系统设计

Ventilation System Design of Urban Utility Tunnel Based on Fuzzy PID Control Algorithm

城市综合管廊通风系统是保证管廊安全运行的关键,针对该通风系统具有高噪声、多变量、非线性、时变滞后性等特点,采用模糊推理的PID控制算法改善了通风系统的性能。利用卡尔曼滤波多传感器信息融合技术对采集数据进行滤波处理,在此基础上运用模糊参数自整定控制算法对PID参数进行调节,以实现对通风量的智能控制。仿真实验结果表明,该控制算法的响应速度、稳态精度和超调量远远优于常规PID控制,为管廊的安全、稳定、高效运行提供了可靠保障。

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.