基于模糊PID迭代学习的隧道通风控制算法研究  

Research on fuzzy PID ILC in tunnel ventilation

作　　者：余发山[1] 孟宪伦[1] 崔立志[1] 

机构地区：[1]河南理工大学电气工程与自动化学院,焦作454000

出　　处：《电子测量技术》2017年第4期5-8,共4页Electronic Measurement Technology

摘　　要：针对隧道施工中通风系统的时变性、不确定性和难以建模的问题,提出一种控制算法,实现隧道通风的智能化。首先,利用迭代学习算法来对模糊PID控制的3个参数kp、ki、kd进行自动寻优,实现对模糊PID参数的在线调整。其次,把寻优后的PID控制器的3个参数代入系统中,通过改变输入量和利用计算机强大的存储能力,使输出量不断逼近期望轨迹直到与期望轨迹重合。最后,通过仿真,与模糊PID仿真曲线进行比较。结果表明,模糊PID迭代学习算法的控制曲线收敛速度快,超调量小,控制性能好,能够满足隧道通风的要求,能够应用于隧道通风中,实现智能化。In view of the time variability,uncertainty and difficult modeling of ventilation system in tunnel construction,a control algorithm is put forward to realize the intelligent control of tunnel ventilation.First of all,using the iterative learning algorithm to the fuzzy PID control of the three parameters kp,ki,kdfor automatic optimization,to achieve the online adjustment of the fuzzy PID parameters.Secondly,the PID controller optimized three parameters in the system,changing the input and making use of computer storage capacity,make the output approaching until the desired trajectory and the desired trajectory of coincidence.Finally,through the simulation,compared with the fuzzy PID simulation curve.The results show that the fuzzy PID iterative learning algorithm has fast convergence speed,small overshoot and good control performance,which can satisfy the requirement of tunnel ventilation and can be applied to the tunnel ventilation,realizing intelligent.

关 键 词：隧道通风的控制算法 模糊PID迭代算法设计 模糊PID参数整定 自动寻优 

分 类 号：TN273[电子电信—物理电子学]