Abstract: Draw Roll is a kind of equipment which has been widely used in chemical textile industry. The temperature stability on the surface of draw roll directly affects the quality of spinning. So the mean point of this paper is how to improve the temperature stability on the surface of draw roll. First, this paper combined empirical mode decomposition(EMD) and echo state network(ESN) as the EMD-ESN combination forecast model. Then predicted the surface temperature of draw roll by using the model. After these, combine EMD-ESN prediction method with fuzzy PID method, use the actual value minus the predicted values and put the difference as one of the input value of fuzzy PID control system. Last, used fuzzy PID system to forecast the draw roll temperature and form the draw roll temperature prediction control system. The experimental result shows that this paper’s method obtains a good effect on temperature control.

Key words: EMD-ESN prediction model, fussy PID, hot roll, temperature control, predictive control