Experiences And Projections On Sag Mill Multivariable Predictive Control

Society for Mining, Metallurgy & Exploration
R. Fuenzalida
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
7
File Size:
1497 KB
Publication Date:
Jan 1, 2012

Abstract

Since 2007, a number of Multivariable Predictive Control (MPC) Applications have been implemented on SAG mills, among others, within the Kairos Mining Concentrator Automation Program using ?Profit Controller?? and other tools comprising the ?Profit Suite??. Along this journey, several interesting and challenging issues related to SAG mill operation and control have been faced, which are relevant to be shared with the Mineral Processing community. These advanced control applications have an operational objective whose goal is to increase marginal profit on the concentrator, together with increasing mill stability. In regard to this objective, the issues to be presented and described are in direct relationship with ?Profit Controller? features and the SAG role; they are also stated and linked to get the most of the mill. Some conclusions and findings are also presented, leading to recommended practices on how to use the controller. These findings have also lead us to decide further actions to be taken on new applications to deploy and also on devising and implementing some complementary components to increase robustness of the overall automation solution, as well as reducing the need for operator intervention.
Citation

APA: R. Fuenzalida  (2012)  Experiences And Projections On Sag Mill Multivariable Predictive Control

MLA: R. Fuenzalida Experiences And Projections On Sag Mill Multivariable Predictive Control. Society for Mining, Metallurgy & Exploration, 2012.

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