Iterative learning control of molecular weight distribution in semi-batch polymerization process under periodic operation

ZHAO Rongchang; CAO Liulin; WANG Jing

doi:10.3969/j.issn.0438-1157.2012.09.012

您当前的位置：

首页 >

文章列表页 >

Iterative learning control of molecular weight distribution in semi-batch polymerization process under periodic operation

更新时间：2025-12-10

- Iterative learning control of molecular weight distribution in semi-batch polymerization process under periodic operation
- CIESC Journal Issue 9, Pages: 2749-2754(2012)
- 作者机构：
  
  北京化工大学信息科学与技术学院,北京,100029
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2012.09.012
  CLC： Q316.37
- Online First：05 September 2012，
  
  Published：05 September 2012
- 稿件说明：
移动端阅览
ZHAO Rongchang, CAO Liulin, WANG Jing. Iterative learning control of molecular weight distribution in semi-batch polymerization process under periodic operation[J]. CIESC Journal, 2012, (9): 2749-2754.
DOI：

ZHAO Rongchang, CAO Liulin, WANG Jing. Iterative learning control of molecular weight distribution in semi-batch polymerization process under periodic operation[J]. CIESC Journal, 2012, (9): 2749-2754. DOI： 10.3969/j.issn.0438-1157.2012.09.012.

摘要

通过对半间歇聚合反应的引发剂进料实施周期操作

研究了这类操作方式对聚合物分子量分布的影响。研究结果显示

周期操作能改善聚合反应过程

对分子量分布有明显的加宽作用。对性能指标进行改进

以引发剂周期进料的占空比为控制变量

采用基于粒子群优化的迭代学习算法

对分子量分布进行了优化控制。仿真分析表明

在实际对象和模型存在不匹配的情况下

运用迭代粒子群算法

控制输入随着批次学习的进行而逐渐趋于最优解

聚合反应的分子量分布则不断逼近希望的分子量分布。实验结果验证了以周期操作方式对半间歇聚合过程分子量分布进行迭代优化控制的可行性。

Abstract

The iterative learning control under periodic operation is used to control molecular weight distribution(MWD)in semi-batch polymerization process in this work.Firstly

the effect of periodic control on the MWD of the semi-batch polymerization reactor is analyzed.Simulation results show that the broadening of molecular weight distribution is achieved through periodic operation

therefore the performance of polymerization is improved.Then the optimal control strategy based on particle swarm optimization(PSO)with an improved performance index is used to control the shape of MWD

in which the control variable is duty cycle of the periodic feeding.In simulation experiment

the control inputs can reach to the optimal values from batch to batch in the presence of model plant mismatches

and the MWD of the polymer approximate the desired MWD gradually

thus the effectiveness of the periodic operation controlling method on MWD is verified.

关键词

Keywords

references

Views

253

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Simulation study on the hydrogen production performance of a two-dimensional PEMWE model under pulsed voltage

Development of simulation strategy based on molecular weight distribution in polyester production process

Removal effect of different organic fractions from coking wastewater by nature magnetite/UV/S2O82- process

Advances in polymer synthesis in microreactors

Synthesis and characterization of new type polytetrahydrofuran polyol

Related Author

MENG Xiaoxiao

WANG Lijie

ZHANG Xuewei

ZHOU Wei

CHEN Jiaxiang

HUANG Yuming

YU Yang

SUN Miaoting

Related Institution

School of Energy Science and Engineering, Harbin Institute of Technology

China Datang Technology Innovation Co., Ltd., Xiong’an

College of Control Science and Engineering, Zhejiang University

Institute of Zhejiang University

State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University

⁰