Neural-Based Generalized Predictive Shape Control System for a 6-High Reversal Mill

Strip shape control is difficult due to the non linearity and uncertainty of the rolling process. A generalized predictive controller based on neural network modeling was introduced to the online strip shape control of a reversal UC MILL. Rolling experimental results showed that this system can achieve ideal control quality.