Model Reference Adaptive Control for Mine Paste Backfill Process

In the actual paste backfill process, there are many uncertain factors to degrade the backfill efficiency. Frequent production changes and working conditions caused the controlled object to be difficult described by an accurate mathematical model. Then, a lot of conventional control effects are unsatisfactory. In this paper, based on the established paste filling process model of our previous work, a model reference adaptive control is proposed, and its stability is verified by the Lyapunov stability theory. The proposed method can adjust the controller parameters to adapt to the parameter changes online, so that the tracking error of the system can gradually converge to zero by the proposed model reference adaptive control with the condition of model uncertainty or external disturbance. The proposed scheme is simulated by MATLAB, and the simulation results show that the proposed control strategy has good control performance.