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

Mao Yachun; Xiao Dong; Niu Dapeng

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

机译：管坯加热温度的建模，预测和控制

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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.

机译：环形炉具有多元，非线性，较大的时滞和交叉耦合特性。管坯出口温度的预测和控制很重要但很困难。我们通过OS-ELM-DRPLS方法建立了管坯最终温度的预测模型。我们解决了复杂的生产特性，在建立线性和非线性模型时整合了PLS和ELM算法的优势，并考虑了模型更新和数据滞后。基于提出的模型，设计了管坯温度预测控制算法。使用宝钢股份的实际生产数据对该算法进行了验证。结果表明该模型达到了工业应用所需的精度。管坯的温度可以通过补偿控制方法控制在所需的温度范围内。

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《Mathematical Problems in Engineering》 |2015年第9期|576813.1-576813.10|共10页
作者
Mao Yachun; Xiao Dong; Niu Dapeng;
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Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110004, Peoples R China.;

Northeastern Univ, Informat Sci & Engn Sch, Shenyang 110004, Peoples R China.;

Northeastern Univ, Informat Sci & Engn Sch, Shenyang 110004, Peoples R China.;

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1. Modeling, Prediction, and Control of Heating Temperature for Tube Billet [J] . YachunMao, DongXiao, DapengNiu Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第4期

机译：管坯加热温度的建模，预测和控制
2. Modelling and prediction for steel billet temperature of heating furnace [J] . You-Wen Chen, Tian-You Chai International Journal of Advanced Mechatronic Systems . 2010,第5a6期

机译：加热炉钢坯温度的建模与预测
3. Control of surface temperature of an aluminum alloy billet by air flow during a heating process at elevated temperature [J] . Choi Young, Park Joon Hong Journal of Mechanical Science and Technology . 2016,第6期

机译：在高温加热过程中通过气流控制铝合金坯料的表面温度
4. Temperature optimal control of the casting billet induction heating process based on the BP prediction model [C] . Zhe Xu, Sanqiang Pan IEEE Symposium on Computational Intelligence in Control and Automation . 2013

机译：基于BP预测模型的铸坯感应加热温度优化控制。
5. THE EXPERIMENTAL DETERMINATION OF THE LOCAL AND AVERAGE HEAT TRANSFER CHARACTERISTICS AND AVERAGE FRICTION COEFFICIENTS FOR TURBULENT FLOW OF AIR AND ARGON WITH VARIABLE PROPERTIES IN SMOOTH TUBES WITH THE BOUNDARY CONDITIONS OF CONSTANT WALL TEMPERATURE HEATING AND INCREASING HEAT FLUX HEATING. [D] . PRIDEAUX, JEAN PAUL. 1966

机译：具有恒定壁温加热和增加热通量边界条件的光滑管中具有可变特性的空气和氩气湍流的局部和平均传热特性的试验摩擦系数和平均摩擦系数。
6. Numerical modeling of ultrasound heating for the correction of viscousheating artifacts in soft tissue temperature measurements [O] . Thomas Tiennot, Hermes A. S. Kamimura, Stephen A. Lee, -1

机译：超声加热校正粘性的数值模型软组织温度测量中的加热伪影
7. Table 2: Means and standard error (se) of heating rate (c*1,000; c in °C/s) and maximum temperature (asymptote; °C) during heating trials under laboratory conditions by seven taxa of dung beetles (Scarabaeinae) according to sex and two sources of radiation. Figures are adjusted means after controlling for the influence of three covariates in the ANCOVA models of Tables 3 and 4. [O] . -1

机译：表2：加热速率的装置和标准误差（C * 1,000; c在°C / s）和最高温度（渐近;°C），在实验室条件下的粪便甲虫（Scarabaeine）的七个分类群中的实验室条件下的加热试验期间对性和两个辐射来源。在控制表3和4的ANCOVA模型中的三个协变量的影响之后，调整了图的手段。

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

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