E3S Web Conf.
Volume 123, 2019Ukrainian School of Mining Engineering - 2019
|Number of page(s)||11|
|Published online||22 October 2019|
Adaptive control of ore mill charge
1 Kryvyi Rih National University, Department of Automation, Computer Science and Technology, 11 Matusevycha St., 50027 Kryvyi Rih, Ukraine
2 Kryvyi Rih National University, Department of Mineral Processing and Chemistry, 11 Matusevycha St., 50027 Kryvyi Rih, Ukraine
3 Kryvyi Rih National University, Department of Automation Electromechanical Systems in the Industry and Vehicles, 11 Matusevycha St., 50027 Kryvyi Rih, Ukraine
4 Kryvyi Rih National University, Graduate student, 11 Matusevycha St., 50027 Kryvyi Rih, Ukraine
* Corresponding author: email@example.com
The system of mining operations does not enable long-lasting mining of single-type ores that causes instability of mineral materials intended for concentration. To solve the problem of controlling these processes on the basis of operating data on characteristics of processed raw materials, the method of controlling mill charge is suggested considering measurements of its output product. This method is based on correlation of the output product quantity and the rate of the mill charge. The process of the object’s operation is modeled, while time characteristics of the output controlled value and the mill charge are approximated to assess accuracy of the method of determining the mill charge. The possibility to use the discrete Kalman filter is studied in order to indentify the object’s characteristics under noises by measurement results. It is shown that application of the Kalman filter to controlling the mill charge enables not only solving the problem of filtration aimed to obtain data on the object’s current state, but also predicting its state.
© The Authors, published by EDP Sciences, 2019
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