模糊神经网络控制器在 DMF 回收系统的设计与应用

摘要

Taking automation renovation of DMF recovery system as the background, and aimed at the matters which bothering the temperature control of rectification column, a cascade control strategy which employing the fuzzy neural network controller to control the temperature was presented.Simulating in Matlab/Simulink shows that this strategy outperforms the PID control in control effect and satisfying actual production.%以DMF回收控制系统的自动化改造为背景，针对精馏塔温度控制存在的问题，提出一种采用模糊神经网络控制器的串级控制策略。在Matlab／Simulink中的仿真实验结果表明：该方法较传统PID方法效果好，能够满足实际生产的需要。