Optimal control of a rougher flotation cell using adaptive dynamic programming

Research output: Contribution to journalConference articleScientificpeer-review

Researchers

Research units

  • Central South University
  • University of Pretoria

Abstract

The operation of a rougher flotation cell affects the performance of mineral processing plant. The dynamics of a rougher flotation cell varies due to the diversity of the feeding conditions. In order to eliminate the dependence of optimal control on a precise model, this paper studies the optimal control of a flotation cell using adaptive dynamic programming which can learn from the operation data and iteratively improve the controller. A classic flotation model is adopted to simulate a rougher flotation cell. The simulation results indicate the effectiveness of the controller.

Details

Original languageEnglish
Pages (from-to)24-29
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number21
Publication statusPublished - 23 Aug 2018
MoE publication typeA4 Article in a conference publication
EventIFAC Workshop on Mining Mineral and Metal Processing - Shanghai, Shanghai, China
Duration: 23 Aug 201825 Aug 2018
Conference number: 5

    Research areas

  • froth flotation, process modelling, Optimal control, Adaptive dynamic programming

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