Plate Width Control Based on Neural Network in Hot Mill

Abstract:

Based upon the model analysis on hot roll width control system, an online adaptive PD combined with Neural Network control method is proposed to account for the complicated process dynamics characterized by nonlinear, parameter uncertain and load disturbances etc. The NN model was introduced as a feed-forward controller to study the controlled plant inverse dynamic. The controller is independent of the exact controlled system modeling, and the control parameter can be regulated online by using the measured input/output datum based on feedback error learning method. The PD controller act as feedback one to ensure the robustness. The proposed scheme is simulated on vertical roller of hot strip mill. The control performance is analyzed in detail in terms of the system response speed and accuracy, as well as robustness to rolling temperature variation.

• Periodical: Applied Mechanics and Materials (Volumes 229-231)
• Pages: 2217-2220
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.229-231.2217
• Online since: November 2012
• Authors: Shu Rong Ning, Tong Sun
• Keywords: Feedback Error Learning, Hot Plate Mill, Neural Network (NN), PD Control, Width System

References

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