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 appropriate 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.