{"title":"Adaptive identification method for simulation and control of glass melting process","authors":"W. Byrski, Michal Drapala","doi":"10.1109/MMAR.2019.8864721","DOIUrl":null,"url":null,"abstract":"Adaptive identification method based on modulating function approach is described in this paper. The real glass melting process is modelled by a linear system, which parameters values can be changed on-line during the identification procedure. The overall model is composed of several submodels. The models, which inputs can be controlled, are approximated by the Strejc transfer function. This approach allows to reduce the number of model parameters. Moreover, PID tuning methods dedicated to the Strejc models can be applied. The developed procedure was applied for data collected from a real glass containers production installation.","PeriodicalId":392498,"journal":{"name":"2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR.2019.8864721","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
Adaptive identification method based on modulating function approach is described in this paper. The real glass melting process is modelled by a linear system, which parameters values can be changed on-line during the identification procedure. The overall model is composed of several submodels. The models, which inputs can be controlled, are approximated by the Strejc transfer function. This approach allows to reduce the number of model parameters. Moreover, PID tuning methods dedicated to the Strejc models can be applied. The developed procedure was applied for data collected from a real glass containers production installation.