基于双模型预测函数控制的PVC聚合釜温度系统  

PVC Polymerization Kettle Temperature System Based on Double Model Predictive Functional Control

作　　者：吴建国[1] 张培建[1] 

机构地区：[1]南通大学电气工程学院

出　　处：《南京理工大学学报》2005年第4期441-445,共5页Journal of Nanjing University of Science and Technology

基　　金：江苏省教育厅自然科学基金(04KJD510141)

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。This paper addresses the process of PVC polymerization and puts forward a multiple-model predictive functional control based on the particularity of PVC polymerization kettle temperature. The multiple-model predictive functional control divides the controlled area into multiple sub-areas, each of which corresponds to an appropilate model and a controller. The strategy improves the traditional predictive 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.

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 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]