CVC Tandem Mill Flatness Predictive Control Model Based on BP Neural Networks

ZHOU Xiaomin; ZHANG Qingdong; WANG Changsong; CHEN Shouqun; HE Ruying; XU Jianyong

doi:10.13374/j.issn1001-053x.2000.04.055

Volume 22 Issue 4

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2000 > 22(4): 374-376

ZHOU Xiaomin, ZHANG Qingdong, WANG Changsong, CHEN Shouqun, HE Ruying, XU Jianyong. CVC Tandem Mill Flatness Predictive Control Model Based on BP Neural Networks[J]. Chinese Journal of Engineering, 2000, 22(4): 374-376. doi: 10.13374/j.issn1001-053x.2000.04.055

Citation:

ZHOU Xiaomin, ZHANG Qingdong, WANG Changsong, CHEN Shouqun, HE Ruying, XU Jianyong. CVC Tandem Mill Flatness Predictive Control Model Based on BP Neural Networks[J]. Chinese Journal of Engineering, 2000, 22(4): 374-376. doi: 10.13374/j.issn1001-053x.2000.04.055

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CVC Tandem Mill Flatness Predictive Control Model Based on BP Neural Networks

doi: 10.13374/j.issn1001-053x.2000.04.055

1. Mechanical Engineering School, UST Beijing, Beijing 100083, China;
2. Shanghai Baoshan Iron and Steel Company, Shanghai

Received Date: 2000-01-03
Available Online: 2021-08-27

Abstract

Abstract

The application of BP neural networks and predictive control algorithms to AFC (Auto Flatness Control) system is studied, and a predictive control algorithms based on BP neural networks are offered.Simulation by computer using data get from 1420mm CVC tandem mill of Shanghai Baoshan Iron and Steel Company is investigated. The results show that this algorithms can be applicated to AFC system and it's results are good.
- neural networks,
- auto flatness control,
- predictive control system