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  • 标题:Adaptive control of ore mill charge
  • 本地全文:下载
  • 作者:Natalia Morkun ; Tetiana Oliinyk ; Iryna Kasatkina
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:123
  • 页码:1-11
  • DOI:10.1051/e3sconf/201912301038
  • 出版社:EDP Sciences
  • 摘要: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.
  • 其他摘要: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.
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