Design of model predictive control for drive system of rolling mill with uncertainty

The state space model for drive system of rolling mill was established in view of parameter uncertainty and load disturbance for drive system of rolling mill. A novel control strategy for drive system of rolling mill was constructed in which model predictive control was introduced to improve robustness of drive system. A design of model predictive controller based on state feedback was proposed for drive system of rolling mill by Lyapunov stability theory and linear matrix inequalities. The speed of the closed-loop response was improved by a minimum decay rate of state variables. The simulation result shows that model predictive controller has not only effectively suppressed to load disturbance, but also has very strong robustness to plant interior parameter perturbation.