Fuzzy Logic Control On a SAG Mill

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.