{"title":"Condenser temperature control of an ethylene terephthalate polymerization reactor using fuzzy-logic and classic control methods","authors":"A. Sohrabi, M. Rafizadeh","doi":"10.1109/ICCIAUTOM.2013.6912833","DOIUrl":null,"url":null,"abstract":"In this work, the condenser temperature of an ethylene terephthalate polymerization reactor is controlled by Fuzzy-logic Controller. Using the open loop experiments and simulation results, the best form of transfer function was derived, which relates the condenser temperature to power of the heater. A set of PID and PD controllers, based on Cohen-Coon, imc, ITAE and Fuzzy method were designed to track the temperature trajectory. By studying the simulation results, the performance of the controllers was compared. The PD controllers had better efficiency, because of the self-integrator nature of the condenser. Hence, a PD-Fuzzy and an adaptive classic PD controller were applied to system. The Fuzzy controller showed an excellent performance and the maximum deviation was about 0.3 °C around 160°C.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 3rd International Conference on Control, Instrumentation, and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2013.6912833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this work, the condenser temperature of an ethylene terephthalate polymerization reactor is controlled by Fuzzy-logic Controller. Using the open loop experiments and simulation results, the best form of transfer function was derived, which relates the condenser temperature to power of the heater. A set of PID and PD controllers, based on Cohen-Coon, imc, ITAE and Fuzzy method were designed to track the temperature trajectory. By studying the simulation results, the performance of the controllers was compared. The PD controllers had better efficiency, because of the self-integrator nature of the condenser. Hence, a PD-Fuzzy and an adaptive classic PD controller were applied to system. The Fuzzy controller showed an excellent performance and the maximum deviation was about 0.3 °C around 160°C.