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The Analysis and Design of Paper Multivariable Control System
  
DOI:10.11981/j.issn.1000-6842.2011.04.46
Key Words:basis weight; moisture;ash; decoupling control; diagonal recurrent neural network
Fund Project:本课题得到江苏省制浆造纸科学与技术重点实验室开放基金项目(200909)资助。
Author NameAffiliation
卜 磊 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 
熊智新 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 
胡慕伊* 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 
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Abstract:
      Considering papermaking process has strong coupling and time-delay characteristics, a method of PID control by unpacking coupling based on the diagonal recurrent neural network is provided. It can perfectly achieve to decouple multi-variable control system by using diagonal recurrent neural network to identify the system model and adjust the PID parameters. The results indicate that the PID control by unpacking coupling has powerful adaptive ability, short response and fast anti-interference.
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