中国造纸学报2012，Vol.27Issue(4)：39-42,4.
基于RBF神经网络的纸张定量水分解耦控制系统设计
Paper Basis Weight and Moisture Decoupled Control Based on RBF Neural Network
摘要
Abstract
There are the characteristics such as high hysteresis, non-linear and time varying in papermaking process, and strong couplings are formed between basis weight and moisture content of the paper. In order to solve the coupling problem, a PID decoupling controller based on the identifier of RBF neural network is proposed. This controller can identify the system model and self-adjust the PID parameters by using RBF network to realize the decoupling control . The simulation results prove that the controller can improve the dynamic and static characteristics of the control system, and is suited to paper basis weight and moisture decoupling control.关键词
RBF神经网络/定量/水分/解耦控制Key words
RBF neural network/ basis weight/ moisture/ decoupling control分类
通用工业技术引用本文复制引用
尤斌,彭晗,胡慕伊,熊智新..基于RBF神经网络的纸张定量水分解耦控制系统设计[J].中国造纸学报,2012,27(4):39-42,4.基金项目
江苏省制浆造纸科学与技术重点实验室开放基金项目(201010). （201010）
