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.
Original language | English |
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Pages (from-to) | 24-29 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 51 |
Issue number | 21 |
DOIs | |
Publication status | Published - 23 Aug 2018 |
MoE publication type | A4 Conference publication |
Event | IFAC Workshop on Mining Mineral and Metal Processing - Shanghai, Shanghai, China Duration: 23 Aug 2018 → 25 Aug 2018 Conference number: 5 |
Keywords
- froth flotation
- process modelling
- Optimal control
- Adaptive dynamic programming