神经网络PID控制及在纸页水份定量控制中的应用

Neural PID Controller and Its Application to the Paper Basis Weight and Water Control

针对抄纸过程水份定量控制系统的特点 ,利用一种多层神经网络 ,组成神经网络PID控制器。经仿真研究及实际运行表明 ,多层神经网络PID控制器具有很强的鲁棒性、自学习功能和自适应解耦功能。

For the paper basic weight and water control system,a neural network based PID controller is developed. Both simulation and practical application results show that this controller has strong robustness and the capabilities of self learning and adaptive decoupling.