PID神经网络在卷纸辊张力控制中的应用

Application of PID Neural Network in Paper Tension Control System

中文关键词:  PID神经网络  卷纸辊张力  PID控制  仿真

Key Words:PID neural network  paper tension  PID controller  simulation

中文摘要:

      分析了PID神经网络（PIDNN）的结构及参数调整算法，并将其用于纸机卷纸辊张力控制。经过仿真研究表明，PIDNN控制器的稳态响应过程比常规PID控制器快，没有超调，没有静差，过渡时间较短，收敛性较好，控制效果比常规PID控制算法有很大改善。

Abstract:

      Through the analysis of the structure of PID neural network(PIDNN), we found that it can be applied in paper tension control.Simulation results showed that compared with the conventional PID controller, PIDNN controller had faster steady-state response, without overshoot, no static difference, shorter transition time and better convergence.The control effect of PIDNN controller was greatly improved.