Use of EMD-ESN model in temperature control system of hot roll
Source abstract
Abstract
The temperature stability on the surface of hot roll directly affects the quality of spinning. In order to improve the stability of the surface temperature of hot roll,a new type of hot roll temperature control system was designed based on an EMD-ESN model. Since the temperature change of the hot roll is a time delay process,this paper introduces a predictive control method based on convenitional fuzzy PID control. First,empirical mode decomposition( EMD) and echo state network( ESN) was combined as the EMD-ESN combination forecast model to predict the surface temperature of the hot roll. And then,predicted values were put into a fuzzy PID controller,thus realizing the predictive control of the surface temperature of the hot roll. The experimental results showed that this method has higher prediction accuracy,good temperature stability,and better temperature control effect.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Neural Networks and Applications · Advanced Algorithms and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References
Reference metadata was not supplied for this record.