[1]吴建国.基于双模型预测函数控制的PVC聚合釜温度系统[J].南京理工大学学报(自然科学版),2005,(04):441-445.
 WU Jian-guo~,ZHANG Pei-jian~.PVC Polymerization Kettle Temperature System Based on Double Model Predictive Functional Control[J].Journal of Nanjing University of Science and Technology,2005,(04):441-445.
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基于双模型预测函数控制的PVC聚合釜温度系统
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2005年04期
页码:
441-445
栏目:
出版日期:
2005-08-30

文章信息/Info

Title:
PVC Polymerization Kettle Temperature System Based on Double Model Predictive Functional Control
作者:
吴建国1 2 张培建1
1.南通大学电气工程学院, 江苏南通226007; 2. 上海大学机械与自动化学院, 上海200072
Author(s):
WU Jian-guo~12ZHANG Pei-jian~1
1.College of Electrical Engineering,Nantong University,Nantong 226007,China;2.College of Mechanism and Automation,Shanghai University,Shanghai 200072,China
关键词:
预测函数控制 多模型 聚合釜温度系统 集散控制系统
Keywords:
predictive functional control mult iple-models polymerizer temperature system distributed control system
分类号:
TP273
摘要:
介绍PVC聚合反应的过程,针对PVC温度系统的特殊性,提出基于多模型的预测函数控制策略。将被控过程空间分为多个子空间,每个子空间对应一个失配较小的预测模型,同时设计多个预测函数控制器与之对应。该控制策略拓宽了传统预测函数控制的应用领域。根据PVC的升温和保温这2个不同的反应区间采用了2个不同的预测模型,以适应过程参数在不同区间发生的变化。该算法在SUPCON-JX300X集散控制系统上利用SCX语言实现,工业现场运行取得了满意的效果。实际运行表明:该控制策略具有算法简单、易于工程实现的优点。
Abstract:
This paper addresses the process of PVC polymerization and puts forward a multiple-model predictive functional control based on the particularity of PVC polymerizat ion kettle temperature. The multiple-model predictive functional control divides the controlled area into mult iple sub-areas, each of which corresponds to an appropriate model and a controller. The strategy improves the traditional predict ive functional control application. In terms of the increasing and holding temperature process of PVC, this paper uses a double-model, which can fit process parameter change. The algorithm is implemented in the SUPCON-JX300X distributed control system through its SCX language. The results show the control strategy algorithm is simple, easy to operate in control systems, and prospective in application.

参考文献/References:

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备注/Memo

备注/Memo:
江苏省教育厅自然科学基金(04KJD510141)
作者简介: 吴建国( 1955- ) , 男, 山东莱州人, 副教授, 博士生, 主要研究方向: 复杂生产过程的先进控制技术, E-mail: wu.jg@ntu. edu. cn。
更新日期/Last Update: 2013-03-03