{"title":"Control System for the Production of Mineral Fertilizers in a Granulator with a Fluidized Bed","authors":"B. Korniyenko, L. Ladieva, L. Galata","doi":"10.1109/ATIT50783.2020.9349344","DOIUrl":null,"url":null,"abstract":"An optimal control system for the production of mineral fertilizers in a fluidized bed granulator has been built. The main control channel is the dependence of the coolant temperature and the temperature of the granules. The criterion of optimality for the control system is obtained. The transfer function was obtained using the MATLAB System Identification package. The transition to the vector-matrix model is made. The Riccati equation is solved. The main factors influencing the process are identified and a control system with LQR-regulator is created, which meets the requirements of stability, dynamics and reliability. A transient process is obtained, which brings the temperature of the granules to a given level in 364 K. The transition process with LQR-regulator lasts 18.7 seconds, which is a real value for regulators of this type.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATIT50783.2020.9349344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
An optimal control system for the production of mineral fertilizers in a fluidized bed granulator has been built. The main control channel is the dependence of the coolant temperature and the temperature of the granules. The criterion of optimality for the control system is obtained. The transfer function was obtained using the MATLAB System Identification package. The transition to the vector-matrix model is made. The Riccati equation is solved. The main factors influencing the process are identified and a control system with LQR-regulator is created, which meets the requirements of stability, dynamics and reliability. A transient process is obtained, which brings the temperature of the granules to a given level in 364 K. The transition process with LQR-regulator lasts 18.7 seconds, which is a real value for regulators of this type.
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