Issue |
E3S Web Conf.
Volume 123, 2019
Ukrainian School of Mining Engineering - 2019
|
|
---|---|---|
Article Number | 01038 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/201912301038 | |
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: nmorkun@gmail.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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.