{"title":"Polymer properties on-line estimation for gas-phase polyethylene based on particle filtering joint estimation","authors":"Zhong Zhao, Min Cui","doi":"10.1109/WCICA.2011.5970565","DOIUrl":null,"url":null,"abstract":"Due to the lack of suitable on-line polymer property measurements, the control of multi-grade product quality in industrial polymerization reactors is difficult. In this article, a predictive model of polymer properties is deduced for industrial polyethylene process by combining the first principle model and the feature modeling scheme. Combining the extended Kalman filtering, a method of design the particle filtering joint estimation is proposed to update the estimation of polymer properties based on the off-line lab analysis data in this article. The application results of the proposed method to an industrial gas-phase polyethylene plant have verified its effectiveness and feasibility. With the proposed method, multi-grade polymer properties of industrial gas-phase polyethylene process can be online estimated and make it possible for achieving the advanced on-line multi-grade product quality control.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 9th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2011.5970565","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Due to the lack of suitable on-line polymer property measurements, the control of multi-grade product quality in industrial polymerization reactors is difficult. In this article, a predictive model of polymer properties is deduced for industrial polyethylene process by combining the first principle model and the feature modeling scheme. Combining the extended Kalman filtering, a method of design the particle filtering joint estimation is proposed to update the estimation of polymer properties based on the off-line lab analysis data in this article. The application results of the proposed method to an industrial gas-phase polyethylene plant have verified its effectiveness and feasibility. With the proposed method, multi-grade polymer properties of industrial gas-phase polyethylene process can be online estimated and make it possible for achieving the advanced on-line multi-grade product quality control.