Abstract:

Grinding and classification processes(GCP)are the key unit operations in metallurgical concentration plants.The product particle size directly affects the final product’s ore grade and metal recovery rate.GCP is essentially a multi-input-multi-output(MIMO)system characterized by strong disturbances,dead time and reverse response.Disturbance observer(DOB)based model predictive control(DOB-MPC)is proposed to handle the external and internal disturbances.The simulation results demonstrate that the proposed methods have better disturbance rejection properties than the MPC method,whether in rejecting external disturbances or in rejecting internal disturbances,such as model mismatches and coupling effects.