| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7115312 | IFAC-PapersOnLine | 2017 | 6 Pages |
Abstract
Flotation of valuable minerals remains a key unit operation on the minerals processing industries. In a modern automated plant, the control handles are in place to stabilize and optimize the flotation process. The challenge has been the reliable measurement of the required control parameters. This paper describes the synthesis of image processing, online analysis and cascaded model predictive control (MPC) to optimize a copper roughing circuit at the Kansanshi operation in Solwezi, Zambia. Implementation challenges are discussed, and key results highlighted.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Kevin Brooks, Wakunoli Munalula,