Optimal control of a rougher flotation cell using adaptive dynamic programming
Loading...
Journal Title
Journal ISSN
Volume Title
Conference article
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
Date
2018-08-23
Major/Subject
Mcode
Degree programme
Language
en
Pages
6
24-29
24-29
Series
IFAC-PapersOnLine, Volume 51, issue 21
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.Description
Keywords
froth flotation, process modelling, Optimal control, Adaptive dynamic programming
Citation
Sun , B , le Roux , J D , Jämsä-Jounela , S L & Craig , I K 2018 , ' Optimal control of a rougher flotation cell using adaptive dynamic programming ' , IFAC-PapersOnLine , vol. 51 , no. 21 , pp. 24-29 . https://doi.org/10.1016/j.ifacol.2018.09.387
