Algorithmic design and application of feedback control for coiling temperature in hot strip mill

Microstructure and mechanical properties of hot-rolled strips are directly influenced by coiling temperature, and feedback control is one of the most significant approaches to improve coiling temperature control precision. Laminar cooling control system was introduced, and the novel feedback control...

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Bibliographic Details
Published inAdvances in mechanical engineering Vol. 9; no. 9; p. 168781401772864
Main Authors Ji, Yafeng, Hu, Xiao, Jiang, LianYun, Sun, Jie, Wang, Hao
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.09.2017
Sage Publications Ltd
SAGE Publishing
Subjects
Adaptive algorithms
Adaptive control
Automation
Coils (strip)
Control systems
Control theory
Controllers
Cooling
Design
Feedback control
Feedback control systems
Hot rolling
Integrals
Mechanical properties
Product quality
Response time
Strip mills
Temperature control
Hot strip mill
coiling temperature
Smith predictor
online adaptive algorithm
feedback control
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Summary:Microstructure and mechanical properties of hot-rolled strips are directly influenced by coiling temperature, and feedback control is one of the most significant approaches to improve coiling temperature control precision. Laminar cooling control system was introduced, and the novel feedback control algorithm based on proportional–integral controller and Smith predictor was designed, respectively, and the online adaptive algorithm was used to optimize parameters of proportional–integral controller. This control system has been successfully applied in a hot strip mill, and the record curves indicate that the novel feedback control system can get better dynamic characteristic. The coiling temperature can be precisely controlled with a high accuracy of ±15°C over 98.3%.
ISSN:1687-8132
1687-8140
1687-8140
DOI:10.1177/1687814017728647