Automation on thermal control of blast furnace

Ryosuke Masuda, Yoshinari Hashimoto*, Max Mulder, Marinus M.(René) van Paassen, Manabu Kano

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
51 Downloads (Pure)

Abstract

Accurate process control through automation is the key to achieving efficient and stable operation of a blast furnace. In this study, we developed an automatic control system of hot metal temperature (HMT). To cope with the slow and complex process dynamics of the blast furnace, we constructed a control algorithm that predicts eight-hour-ahead HMT using a two-dimensional (2D) transient model and calculates optimal target pulverized coal ratio (PCR) and pulverized coal flow rate by non-linear model predictive control (NMPC). An evaluation in a real plant showed that the developed control system suppressed the effects of disturbances, such as changes in the coke ratio and blast volume, on the HMT. The root mean square (RMS) of the control deviation of HMT was successfully reduced by 1.6 °C compared to the conventional manual operation.

Original languageEnglish
Article number100085
Number of pages10
JournalDigital Chemical Engineering
Volume7
DOIs
Publication statusPublished - 2023

Keywords

  • Hot metal temperature
  • Industrial application
  • Model predictive control
  • Process control

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