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

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

3 Sitaatiot (Scopus)

301 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	24-29
Sivumäärä	6
Julkaisu	IFAC-PapersOnLine
Vuosikerta	51
Numero	21
DOI - pysyväislinkit	https://doi.org/10.1016/j.ifacol.2018.09.387
Tila	Julkaistu - 23 elok. 2018
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IFAC Workshop on Mining Mineral and Metal Processing - Shanghai, Shanghai, Kiina Kesto: 23 elok. 2018 → 25 elok. 2018 Konferenssinumero: 5

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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",

author = "B. Sun and {le Roux}, {J. D.} and J{\"a}ms{\"a}-Jounela, {S. L.} and Craig, {I. K.}",

year = "2018",

month = aug,

day = "23",

doi = "10.1016/j.ifacol.2018.09.387",

language = "English",

volume = "51",

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journal = "IFAC-PapersOnLine",

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note = "IFAC Workshop on Mining Mineral and Metal Processing, MMM ; Conference date: 23-08-2018 Through 25-08-2018",

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TY - JOUR

T1 - Optimal control of a rougher flotation cell using adaptive dynamic programming

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

Y1 - 2018/8/23

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.

KW - froth flotation

KW - process modelling

KW - Optimal control

KW - Adaptive dynamic programming

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U2 - 10.1016/j.ifacol.2018.09.387

DO - 10.1016/j.ifacol.2018.09.387

M3 - Conference article

AN - SCOPUS:85054439315

SN - 2405-8963

VL - 51

SP - 24

EP - 29

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 21

T2 - IFAC Workshop on Mining Mineral and Metal Processing

Y2 - 23 August 2018 through 25 August 2018

ER -

Optimal control of a rougher flotation cell using adaptive dynamic programming

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