Optimal control of a rougher flotation cell using adaptive dynamic programming

B. Sun; J. D. le Roux; S. L. Jämsä-Jounela; I. K. Craig

doi:10.1016/j.ifacol.2018.09.387

Optimal control of a rougher flotation cell using adaptive dynamic programming

B. Sun, J. D. le Roux, S. L. Jämsä-Jounela, I. K. Craig

Research output: Contribution to journal › Conference article › Scientific › peer-review

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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
Pages (from-to)	24-29
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	51
Issue number	21
DOIs	https://doi.org/10.1016/j.ifacol.2018.09.387
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

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10.1016/j.ifacol.2018.09.387

CHEM-Sun_optimal_control-of-IFAC_Papers_OnlineFinal published version, 458 KB

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title = "Optimal control of a rougher flotation cell using adaptive dynamic programming",

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.",

keywords = "froth flotation, process modelling, Optimal control, Adaptive dynamic programming",

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AU - Sun, B.

AU - le Roux, J. D.

AU - Jämsä-Jounela, S. L.

AU - Craig, I. K.

N1 - Conference code: 5

PY - 2018/8/23

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N2 - 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.

AB - 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.

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KW - process modelling

KW - Optimal control

KW - Adaptive dynamic programming

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Optimal control of a rougher flotation cell using adaptive dynamic programming

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