著者
Yoshinari Hashimoto Yoshitaka Sawa Manabu Kano
出版者
The Iron and Steel Institute of Japan
雑誌
ISIJ International (ISSN:09151559)
巻号頁・発行日
vol.59, no.9, pp.1534-1544, 2019-09-15 (Released:2019-09-15)
参考文献数
27
被引用文献数
1 9

Precise control of hot metal temperature (HMT) is crucial for achieving stable operation of a blast furnace, but it is difficult due to the sluggish dynamics caused by the huge heat capacity. To cope with such difficulty, this work aims at developing a method that can predict future HMT by adopting moving horizon estimation (MHE) based on a one-dimensional transient model. MHE is useful to successively adjust model parameters so that the undesirable influence of past disturbances on the prediction is minimized. The real application result demonstrated that the root mean square error (RMSE) of HMT of eight-hour-ahead prediction was only 11.6°C. The high-performance prediction enables operators to realize the efficient operation of the blast furnace.

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J-STAGE Articles - Online Prediction of Hot Metal Temperature Using Transient Model and Moving Horizon Estimation https://t.co/4Jx3W3mii4
橋本さんが社会人博士コース在学時に書かれた論文がまさに溶銑温度予測を対象にしているのですが,日本鉄鋼協会の澤村論文賞受賞が内定しました. Online Prediction of Hot Metal Temperature Using Transient Model and Moving Horizon Estimation (ISIJ International) https://t.co/eFG3wng4X0

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