Diseño de un esquema de lixiviación de oro mediante un controlador predictivo basado en modelos (MPC) en una empresa minera

Abstract

CONDITION FOR PUBLICATION OF PROJECT, The processing of gold minerals, due to the effects of cyanidation, involves the generation of highly toxic waste, so leaching methods that generate the lowest possible environmental impact are suggested. The present titration work aims to propose a gold leaching scheme through the design of a Model-Based Predictive Process Controller (MPC), to improve productivity in a mining company dedicated to the exploitation of oxidized mineral resources through cyanide leaching. For this purpose, a methodology has been designed from the calculation of a parametric model that describes the dynamics of the gold leaching process, to incorporate it into the Model-Based Predictive Controller (MPC) and propose a scheme for the dosage of chemical reagents (cyanide). The final result is a parametric BJ structure with an 86% fit, the corresponding MPC controller and the control scheme to optimize the leaching process. Keywords: Leaching, gold, MPC, parametric models, environment