Disturbance rejection of ball mill grinding circuits using DOB and MPC

Ball mill grinding circuit is essentially a multivariable system with couplings, time delays and strong disturbances. Many advanced control schemes, including model predictive control (MPC), adaptive control, neuro-control, robust control, optimal control, etc., have been reported in the field of grinding process. However, these control schemes including the MPC scheme usually cannot achieve satisfying effects in the presence of strong disturbances. In this paper, disturbance observer (DOB), which is widely used in motion control applications, is introduced to estimate the disturbances in grinding circuit. A compound control scheme, consisting of a feedforward compensation part based on DOB and a feedback regulation part based on MPC (DOB–MPC), is thus developed. A rigorous analysis of disturbance rejection performance is given with the considerations of both model mismatches and external disturbances. Simulation results demonstrate that when controlling the ball mill grinding circuit, the DOB–MPC method possesses a better performance in disturbance rejection than that of the MPC method.

In the grinding process, disturbances severely influence the control performance of the closed-loop system. The purpose of this paper is to study the disturbance rejection performance of the ball mill grinding circuit by using a proposed compound control scheme consisting of a feedforward compensation part based on disturbance observer (DOB) and feedback regulation part on model predictive controller (MPC) (DOB–MPC).Figure optionsDownload as PowerPoint slide