| 纸张多变量控制系统的分析与设计 |
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| 引用本文： | 卜 磊,熊智新,胡慕伊. 纸张多变量控制系统的分析与设计[J]. 中国造纸学报, 2011, 26(4): 46-48 |
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| 作者姓名： | 卜 磊 熊智新 胡慕伊 |
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| 作者单位： | 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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| 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(200909)资助 |
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| 摘 要： | 针对纸张定量、水分和灰分系统的强耦合、时滞特点,运用基于对角递归神经网络的多变量自整定PID控制方法,实时调整PID控制器的参数,实现系统的解耦功能.实验仿真结果表明,该控制方法系统适应能力较强、响应速度快、抗干扰能力强.
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| 关 键 词： | 定量 水分 灰分 解耦控制 对角递归神经网络 |
The Analysis and Design of Paper Multivariable Control System |
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| BU Lei , XIONG Zhi-xin , HU Mu-yi. The Analysis and Design of Paper Multivariable Control System[J]. Transactions of China Pulp and Paper, 2011, 26(4): 46-48 |
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| Authors: | BU Lei XIONG Zhi-xin HU Mu-yi |
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| Affiliation: | BU Lei XIONG Zhi-xin HU Mu-yi (Jiangsu Provincial Key Lab of Pulp and Paper Science and Technology,Nanjing Forestry University,Nanjing,Jiangsu Province,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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| Keywords: | basis weight moisture ash decoupling control diagonal recurrent neural network |
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