基于GMC(1,N)的聚丙烯熔融指数预报  

Melt index prediction of polypropylene based on GMC(1,N)model

作　　者：王明旭[1] 刘兴高[1] 

机构地区：[1]浙江大学控制系,工业控制技术国家重点实验室,浙江杭州310027

出　　处：《化工学报》2013年第5期1717-1722,共6页CIESC Journal

基　　金：中国石油天然气集团公司石油化工联合基金项目(U1162130);国家高技术研究发展计划项目(2006AA05Z226);浙江省杰出青年科学基金项目(R4100133)~~

摘　　要：聚丙烯是以丙烯单体为主聚合而成的一种合成树脂,是五大通用塑料之一,是塑料工业中的重要原料。世界丙烯的50%、我国丙烯的65%都用来生产聚丙烯。熔融指数（简称MI）是在一定温度、一定压力、一定负荷下,Melt index（MI）is the most important parameter in determining polypropylene＇s specifications and also the key of quality control.Considering the continuity of the polypropylene production process and the characteristics of gray prediction model,a new GMC（1,N）melt index prediction model is proposed in this paper to infer the MI of polypropylene from other process variables,which shows good applicability.Furthermore,a back propagation network is built to correct the residual of the model and the GMC（1,N）-BP model is improved with better precision.Standard SVM（support vector machines）,LS-SVM and weighted LS-SVM model are taken for comparison.A practical polypropylene industrial process is taken as case study.The results show that the proposed improved model achieves good results in practical melt index prediction.

关 键 词：灰色预测 GMC(1 N)模型 灰色神经网络模型 熔融指数预报 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]