High Precision Prediction of Rolling Load of Finishing Stands by Fuzzy Identification Method
Aimed at the relatively large error of traditional models of rolling load, a new Rolling Load Prediction of Finishing Stands method is set up by Fuzzy Identification. It is based on T-S fuzzy model using triangle-shaped membership functions to calculate the grade of membership for each given pattern, and using Kalman filtering to identify the consequent parameters of fuzzy model. So the prediction precision of rolling load is improved. On the basis of the measured data of the 1580 mm hot strip mill, the relation between the main hot strip mill parameters and rolling load is established using fuzzy model. Experimental results show that the prediction precision is higher, its relative error can be controlled within ±4%.