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基于矩生成函数的聚合过程分子量分布控制

Molecular Weight Distribution Control for Polymerization Processes Based on the Moment-Generating Function.

作者信息

Zhang Jianhua, Pu Jinzhu, Ren Mifeng

机构信息

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China.

School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China.

出版信息

Entropy (Basel). 2022 Apr 1;24(4):499. doi: 10.3390/e24040499.

Abstract

The molecular weight distribution is an important factor that affects the properties of polymers. A control algorithm based on the moment-generating function was proposed to regulate the molecular weight distribution for polymerization processes in this work. The B-spline model was used to approximate the molecular weight distribution, and the weight state space equation of the system was identified by the subspace state space system identification method based on the paired date of B-spline weights and control inputs. Then, a new performance criterion mainly consisting of the moment-generating function was constructed to obtain the optimal control input. The effectiveness of the proposed control method was tested in a styrene polymerization process. The molecular weight distribution of the styrene polymers can be approximated by the B-spline model effectively, and it can also be regulated towards the desired one under the proposed control method.

摘要

分子量分布是影响聚合物性能的一个重要因素。本文提出了一种基于矩生成函数的控制算法,用于调节聚合过程中的分子量分布。采用B样条模型对分子量分布进行逼近,并基于B样条权重与控制输入的配对数据,通过子空间状态空间系统辨识方法辨识系统的加权状态空间方程。然后,构建了一个主要由矩生成函数组成的新性能指标,以获得最优控制输入。在苯乙烯聚合过程中对所提控制方法的有效性进行了测试。苯乙烯聚合物的分子量分布能够有效地由B样条模型逼近,在所提控制方法下也能够被调节至期望的分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c106/9031830/2ba12c596cd5/entropy-24-00499-g001.jpg

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