| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 709357 | IFAC Proceedings Volumes | 2013 | 6 Pages |
Abstract
The paper will present a case where fuzzy logic was the logical choice to improve performances of a semi-autogenous grinding (SAG) mill. The SAG mill stability had to be improved and throughput increased. The process is multivariable, strongly non-linear, and before implementing this system, the operators were actively manipulating many variables with varying success depending on operator experience and occurring disturbances.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
