Modeling, Prediction, and Control of Heating Temperature for Tube Billet

Annular furnaces have multivariate, nonlinear, large time lag, and cross coupling characteristics. The prediction and control of the exit temperature of a tube billet are important but difficult. We establish a prediction model for the final temperature of a tube billet through OS-ELM-DRPLS method....

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Bibliographic Details
Published in:Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-10
Main Authors: Mao, Yachun, Niu, Dapeng, Xiao, Dong
Format: Article
Language:English
Subjects:
Algorithms
Billets
Civil engineering
Control algorithms
Control methods
Control theory
Cross coupling
Furnaces
Heating
Industrial applications
Kalman filters
Mathematical models
Neural networks
Nonlinear control
Nonlinearity
Partial differential equations
Prediction models
Software upgrading
Steel industry
Time lag
Tubes
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Summary:Annular furnaces have multivariate, nonlinear, large time lag, and cross coupling characteristics. The prediction and control of the exit temperature of a tube billet are important but difficult. We establish a prediction model for the final temperature of a tube billet through OS-ELM-DRPLS method. We address the complex production characteristics, integrate the advantages of PLS and ELM algorithms in establishing linear and nonlinear models, and consider model update and data lag. Based on the proposed model, we design a prediction control algorithm for tube billet temperature. The algorithm is validated using the practical production data of Baosteel Co., Ltd. Results show that the model achieves the precision required in industrial applications. The temperature of the tube billet can be controlled within the required temperature range through compensation control method.
ISSN:1024-123X
1563-5147
DOI:10.1155/2015/576813