A novel deep ensemble reinforcement learning based control method for strip flatness in cold rolling steel industry

W Peng, J Lei, C Ding, C Yue, G Ma, J Sun… - … Applications of Artificial …, 2024 - Elsevier
The flatness control system of cold-rolled strip is characterized by nonlinearity, strong
coupling, and multivariable features. Theoretical models of flatness derived from physical …

[HTML][HTML] Offline reinforcement learning for industrial process control: A case study from steel industry

J Deng, S Sierla, J Sun, V Vyatkin - Information Sciences, 2023 - Elsevier
Flatness is a crucial indicator of strip quality that presents a challenge in regulation due to
the high-speed process and the nonlinear relationship between flatness and process …

A novel paradigm of flatness prediction and optimization for strip tandem cold rolling by cloud-edge collaboration

J Zhao, J Li, Q Yang, X Wang, X Ding, G Peng… - Journal of Materials …, 2023 - Elsevier
The strip flatness is a crucial index determining product quality in the strip tandem cold
rolling (SCR). Data-driven methods (DDM) for flatness prediction are able to capture the …

Predicting flatness of strip tandem cold rolling using a general regression neural network optimized by differential evolution algorithm

J Zhao, J Li, H Qie, X Wang, J Shao, Q Yang - The International Journal of …, 2023 - Springer
Flatness prediction is a critical technical concern in flatness feedforward control during strip
cold rolling. This work realized a high-precision prediction of flatness for strip cold rolling by …

An Interpretable Framework for High-Precision Flatness Prediction in Strip Cold Rolling

C Ding, J Ye, J Lei, F Wang, Z Li, W Peng… - Journal of Materials …, 2024 - Elsevier
Flatness plays a crucial role in determining the quality of products in strip cold rolling. Data
driven methods have shown promise in flatness prediction by effectively capturing the …

Optimization and prediction model of flatness actuator efficiency in cold rolling process based on process data

P Wang, S Jin, X Li, H Huang, H Wang… - steel research …, 2022 - Wiley Online Library
The accuracy of flatness actuator efficiency (FAE) is a prerequisite to achieve high precision
automatic flatness control. This study proposes an accurate acquisition approach of FAE …

Data-based flatness prediction and optimization in tandem cold rolling

J Sun, P Shan, Z Wei, Y Hu, Q Wang, W Peng… - Journal of Iron and Steel …, 2021 - Springer
In cold rolling process, the flatness actuator efficiency is the basis of the flatness control
system. The precision of flatness is determined by the setpoints of flatness actuators. In the …

A novel strategy based on machine learning of selective cooling control of work roll for improvement of cold rolled strip flatness

P Wang, J Deng, X Li, C Hua, L Su, G Deng - Journal of Intelligent …, 2023 - Springer
Precise selective cooling control of work roll can significantly improve the cold rolled strip
flatness in steel manufacturing industry. To improve the control accuracy of the coolant …

Flatness control of cold rolled strip based on relay optimisation

PF Wang, ZJ Zhang, J Sun, DH Zhang… - Ironmaking & …, 2018 - journals.sagepub.com
At present, most of the multi-variable flatness control systems of cold rolling mills are
developed based on global optimisation methods. However, the global optimisation …

Actuator efficiency adaptive flatness control model and its application in 1250 mm reversible cold strip mill

P Wang, P Yan, H Liu, D Zhang, J Wang - Journal of Iron and Steel …, 2013 - Elsevier
The existing research of the flatness control for strip cold rolling mainly focuses on the
calculation of the optimum adjustment of individual flatness actuator in accordance with the …