Performance of Model Predictive Control on the Crushing Circuit at Sishen Mine

The Australasian Institute of Mining and Metallurgy
E K. Leeka
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
4
File Size:
2009 KB
Publication Date:
Aug 12, 2013

Abstract

Process control limitations have led to suboptimal performance of the crushing section of Sishen MineÆs Jig Plant. The performance of the PID (proportional-integral-derivative) controller implemented during commissioning was hampered by the relatively small buffer capacity between the crushers and screens. The inability to maintain the tertiary crushing chamber under full choke conditions lead to inefficient crushing and reduced crusher product cubicity.Model predictive control (MPC) was implemented in the tertiary crusher plant in May 2012 and resulted in a throughput improvement of six per cent in its first month. The controller was further optimised and indicated a throughput improvement of 16 per cent during on/off testing in July 2012. The throughput improvement is attributable to the finer crusher product resulting from operating the crusher under full choke conditions and controlled feed rate to the tertiary crusher plant screens. The next step is to couple the model predictive controller, automated gap control system and an economic optimiser to ensure maximised throughput and value from the resource.CITATION:Leeka, E K, 2013. Performance of model predictive control on the crushing circuit at Sishen Mine, in Proceedings Iron Ore 2013 , pp 417-420 (The Australasian Institute of Mining and Metallurgy: Melbourne).
Citation

APA: E K. Leeka  (2013)  Performance of Model Predictive Control on the Crushing Circuit at Sishen Mine

MLA: E K. Leeka Performance of Model Predictive Control on the Crushing Circuit at Sishen Mine. The Australasian Institute of Mining and Metallurgy, 2013.

Export
Purchase this Article for $25.00

Create a Guest account to purchase this file
- or -
Log in to your existing Guest account