Optimal control of tension and thickness for tandem cold rolling process based on receding horizon control
Author:
Affiliation:
1. The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, PR People’s Republic of China
2. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, PR People’s Republic of China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
the Open Research Fund from RAL, Northeastern University
National Key R&D Program of China
Publisher
Informa UK Limited
Subject
Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Link
https://www.tandfonline.com/doi/pdf/10.1080/03019233.2019.1615813
Reference29 articles.
1. Representation and control of the cold rolling process through artificial neural networks via sensitivity factors
2. A kinematic analytical approach to predict roll force, rolling torque and forward slip in thin hot strip continuous rolling
3. Smith prediction monitor AGC system based on fuzzy self-tuning PID control
4. A new tension controller for continuous strip processing line
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