Application of grey system theory to phosphorite sinter process: From modeling to control
Toktassynova N. Fourati H. Suleimenov B.
January 2021Wiley-Blackwell
Asian Journal of Control
2021#23Issue 113 - 22 pp.
The sintering process of phosphorite ore occurs with a large amount of return caused by untimely process control. The control task of phosphorite ore sintering is to regulate the parameters of the process to obtain a high quality sinter. The parameter clearly responsible for sinter quality is the temperature in the wind box. Therefore, in order to solve the control task, it is necessary to predict the highest temperature of the charge (also known as the burn through point (BTP)). In this paper, the theory of grey systems is used as a predictive model, which makes it possible to obtain an adequate model that uses a small number of initial samples of real temperature data. Based on the grey model GMC(1,n) a new optimal model is presented, which is constructed by using optimization algorithm. Optimal model predicts the BTP, and to establish an optimal regulation, a control synthesis is carried out through an optimization of the prediction according to the “particle swarm” algorithm.
burn through point , control structure , grey system , optimization algorithm , predictive model , sinter process
Text of the article Перейти на текст статьи
Department of Automation and Control, Satbayev University, Kazakhstan
GIPSA-Lab, University Grenoble Alpes, Grenoble, France
Department of Automation and Control
GIPSA-Lab
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026