基于Isomap-MPA-LSSVM软测量模型的PVC聚合过程转化率预测  

Conversion rate prediction of PVC polymerization process based on Isomap-MPA-LSSVM soft-sensor model

作　　者：唐海红 张凯 TANG Haihong;ZHANG Kai(College of Information Engineering,Shenyang University of Chemical Technology,Shenyang,Liaoning 110142,China;Equipment Reliability Institute,Shenyang University of Chemical Technology,Shenyang,Liaoning 110142,China)

机构地区：[1]沈阳化工大学信息工程学院,辽宁沈阳110142 [2]沈阳化工大学装备可靠性研究所,辽宁沈阳110142

出　　处：《河北工业科技》2023年第1期18-26,共9页Hebei Journal of Industrial Science and Technology

基　　金：国家重点研发计划项目(2019YFB2004401);辽宁省教育厅重点计划项目(LJKZ0435);辽宁省特聘教授计划项目([2018]3533)。

摘　　要：针对聚氯乙烯(PVC)聚合过程转化率难以实时获取,提出了一种基于Isomap-MPA-LSSVM软测量模型预测氯乙烯单体(VCM)转化率的方法。首先,为消除数据间共线性,采用等度量映射(Isomap)算法对原始数据特征进行提取,得到模型的输入变量。其次,用海洋捕食者算法(MPA)优化最小二乘支持向量机(LSSVM)的参数,并建立模型。最后,进行仿真实验。结果表明,软测量模型相较于MPA-LSSVM与LSSVM模型,预测的平均绝对误差分别降低了43.03%和59.92%,均方根误差分别降低了30.27%和52.24%,显著提升了VCM转化率的预测精度。所提模型能精确预测VCM转化率,对提高PVC的产品质量具有重要参考意义。In view of the difficulty in obtaining real-time conversion rate of polyvinyl chloride polymerization process,a soft sensing model based on Isomap-MPA-LSSVM was proposed to predict the conversion rate of vinyl chloride monomer.Firstly,in order to eliminate the collinearity between the data,isometric mapping(Isomap) algorithm was used to extract features from original data and obtain the input variables of the model.Secondly,marine predators algorithm(MPA) was used to optimize the parameters of least squares support vector machine(LSSVM) to establish the model.Finally,the simulation experiment was carried out.The results show that compared with MPA-LSSVM and LSSVM models,the mean absolute error of the proposed soft-sensor model decreases by 43.03% and 59.92%,respectively,and the root mean square error decreases by 30.27% and 52.24%,respectively,which significantly improves the prediction accuracy of VCM conversion rate.The model can accurately predict the conversion rate of VCM,which provides an important reference for improving the product quality of PVC products.

关 键 词：自动控制技术其他学科 PVC聚合过程 软测量 等度量映射 海洋捕食者算法 最小二乘支持向量机 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]