| 基于GMC(1,N)的聚丙烯熔融指数预报 |
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| 引用本文： | 王明旭,刘兴高.基于GMC(1,N)的聚丙烯熔融指数预报[J].化工学报,2013,0(5):1717-1722. |
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| 作者姓名： | 王明旭 刘兴高 |
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| 作者单位： | 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 |
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| 基金项目： | 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)。 |
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| 摘 要： | 引言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,熔体在10min内通过标
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| 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 |
| 收稿时间： | 2012-09-21 |
| 修稿时间： | 2012-11-18 |
Melt index prediction of polypropylene based on GMC(1,N)model |
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| WANG Mingxu,LIU Xinggao.Melt index prediction of polypropylene based on GMC(1,N)model[J].Journal of Chemical Industry and Engineering(China),2013,0(5):1717-1722. |
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| Authors: | WANG Mingxu LIU Xinggao |
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| Affiliation: | State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China |
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| Abstract: | 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. |
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| Keywords: | gray prediction GMC(1" target="_blank">N)model')" href="#">GMC(1 N)model gray neural network melt index prediction |
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