Flatness Feed-Forward Control Model Based on Neural Networks

Zhu Wen Yan; Hen An Bu; Dian Hua Zhang; Jie Sun

doi:10.4028/www.scientific.net/AMR.989-994.3386

Paper Titles

Software Design of Micromouse Dash Motion
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Double DSP Communication Based on CAN Bus Interface
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Aerospace Test and Launch Process Dynamic Management System Based on the Network Diagram Method
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Research to the Development of Network-Anticipated Controlled System Based on Arbitrary Bounded Packet Loss
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Flatness Feed-Forward Control Model Based on Neural Networks
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The Design of Greenhouse Environment Monitoring System Based on ZigBee
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The Design of Portable Granary Thermometer
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Research and Design of Light Moisture Tester
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Software System for Unmanned Surface Vehicle Using PCI8602
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Flatness Feed-Forward Control Model Based on...

Flatness Feed-Forward Control Model Based on Neural Networks

Abstract:

The influence on the shape of the strip from rolling force fluctuations has been analyzed. The combination of intermediate roll bending and work roll bending has been adopted. The principle of rolling force feed-forward control has been analyzed. The feed-forward control model has been established on the basis of neural networks. The model has been successfully applied to a rolling mill and a good effect has been achieved.