{"title":"Automation system for optimization of vulcanization accelerator production","authors":"Xiaodong Zhang, Xiujuan Li, Ke Lu","doi":"10.1109/ISKE.2010.5680757","DOIUrl":null,"url":null,"abstract":"This paper presents the design, development and implementation of an automation system of batch process suitable for vulcanization accelerator production applications. The unique feature of the accelerator production process is that it has complex nonlinear, time-varying and large time-delay characteristics. Based on its kinetics characteristics and technical analysis of the batch process, adaptive fuzzy PID controller is adopted to optimize the production performance. The hardware and software platform built on the multifunction process control equipment and SIMATIC PCS7 allows the real-time execution of the advanced process control techniques. Results obtained by the simulation execution of the proposed algorithms are also presented. The final experimental results show that it meets the control requirements of batch process for vulcanization accelerator production well.","PeriodicalId":6417,"journal":{"name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","volume":"2 1","pages":"584-587"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2010.5680757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the design, development and implementation of an automation system of batch process suitable for vulcanization accelerator production applications. The unique feature of the accelerator production process is that it has complex nonlinear, time-varying and large time-delay characteristics. Based on its kinetics characteristics and technical analysis of the batch process, adaptive fuzzy PID controller is adopted to optimize the production performance. The hardware and software platform built on the multifunction process control equipment and SIMATIC PCS7 allows the real-time execution of the advanced process control techniques. Results obtained by the simulation execution of the proposed algorithms are also presented. The final experimental results show that it meets the control requirements of batch process for vulcanization accelerator production well.