A looper-thickness coordinated control strategy based on ILQ theory and GA-BP neural network-Reference-Cited by-同舟云学术

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A looper-thickness coordinated control strategy based on ILQ theory and GA-BP neural network

Published:2023-07-03 Issue:9-10 Volume:127 Page:4845-4860
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Yuan Hao,Li Xu,Wang Xiaojun,Ji Yafeng

Funder

the National Natural Science Foundation of China

the Key R&D Program of Shanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-023-11822-2.pdf

Reference24 articles.

1. Zhao JW, Wang XC, Yang Q, Wang QN, Liu C, Song GY (2019) High precision shape model and presetting strategy for strip hot rolling. Mater Process Technol 265:99–111. https://doi.org/10.1016/j.jmatprotec.2018.10.005

2. Sun J, Hu YJ, Yin FC, Hu YH, Peng W, Zhang DH (2019) Looper-gauge integrated control in hot strip finishing mill using inverse linear quadratic theory. ISIJ Int 59:1562–1572. https://doi.org/10.2355/isijinternational.ISIJINT-2018-721

3. Hu YJ, Sun J, Wang QL, Yin FC, Zhang DH (2019) Characteristic analysis and optimal control of the thickness and tension system on tandem cold rolling. Int J Adv Manuf Technol 101:2297–2312. https://doi.org/10.1007/s00170-018-3088-1

4. Ji YF, Yuan H, Song LB, Li HY, Peng W, Sun J (2022) Coordinate control of strip thickness-crown-tension based on inverse linear quadratic in tandem hot rolling mill. Int J Adv Manuf Technol 118:1213–1226. https://doi.org/10.1007/s00170-021-07912-8

5. Yin FC, Sun J, Peng W, Wang HY, Yang J, Zhang DH (2017) Dynamic matrix predictive control for a hydraulic looper system in hot strip mills. J Central South Univ 24:1369–1378. https://doi.org/10.1007/s11771-017-3541-6

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1. Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning;Materials Today Communications;2024-08

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