The Development of a Charge Movement Model for Blast Furnace Based on Extended Kalman Filter

  • Jingchu DuanEmail author
  • Weicun Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)


In this paper, by analyzing the movement of blast furnace charge in the void area after the chute, the system’s state equations and measurement equations are established, and the extended Kalman filter is used to predict and track the data. Extended Kalman filter is a method that can expand nonlinear equations into linear equations through Taylor expansion to make better observations. Then three-dimensional equations of state are established. The position, velocity, and acceleration of the charge are used to fit. Finally, the blast furnace is verified through experiments state of charge equation and measurement equation of charge and validity of three-dimensional extended Kalman filter.


Blast furnace Extended Kalman filter State equations Measurement equations 


  1. 1.
    Y. Liu, The Regulation on burden Distribution (Metallurgical Industry Press, Beijing, 2005)Google Scholar
  2. 2.
    W. Huang, Y. Xu, J. Wang, Algorithm of data fusion based on mode recognition and regression analysis. Control Decis. 25(1), 110–114 (2010)Google Scholar
  3. 3.
    D. Liu, X. Li, D. Ding et al., Multi-model control of blast furnace burden surface based on observed data of radars. Control Theor. Appl. 29(10), 1277–1283 (2012)Google Scholar
  4. 4.
    L. He, PLC optimized application on blast furnace stock rod control. Autom. Instrum. 29(6), 74–74 (2009)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.College of Automation, University of Science and Technology BeijingBeijingChina

Personalised recommendations