Research of Polymerization Temperature Control Based on Improved GPC

Abstract

The polymerization process is the basis stage of PAN-based carbon fiber production, and its temperature control affects directly the quality and yield of the last products. However, the polymerization process releases a lot of heat rapidly and it has the serious time delay character, which make it is very complex to control the polymerization process. The paper firstly analyzes the polymerization process model, gives its CARIMA parametric equation, provides the original data excited by the generalized binary noise signal, and identifies the model parameters based on the recursive least square algorithm with fading memory. Secondly, the paper introduces an improved generalized predictive control (GPC) algorithm and analyses its stability. The algorithm applies recursive optimization to solve the problems as large calculation amount and memory occupation caused by the normal GPC. Finally, the polymerization temperature control system is realized in the cascade frame based on the monitoring layer and the control layer. The practice shows that polymerization temperature control system with the improved GPC algorithm runs well and has evident effect with effective control.