基于双模型预测函数控制的PVC聚合釜温度系统

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。

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

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.