Multilayered Approach to Model Predictive Industrial Process Control

Authors

  • L. S. Kazarinov South Ural State University
  • D. A. Shnayder South Ural State University
  • T. A. Barbasova South Ural State University

DOI:

https://doi.org/10.14529/ctcr160112

Keywords:

blast-furnace process, multilayered approach, elliptic approximation method, model predictive control

Abstract

The method of the industrial processes efficiency increasing based on the multilayered approach to the control task solution is proposed in the article. According to this approach the existing technology regulations of estimation process conducting in terms of the true accuracy of operating parameters holding is used as the regulatory constraint defining their acceptable region. Within the field specified the process of the controlled operating parameters values optimization according to the current data about operation is implemented. The optimization process is based on multidimensional simplex method usage and orthogonal planning of problem solving in combination with the method of effective domain elliptic approximation. The example of using the proposed method for the blastfurnace process efficiency increasing is given.

Author Biographies

L. S. Kazarinov, South Ural State University

д-р техн. наук, профессор, заведующий кафедрой автоматики и управления

D. A. Shnayder, South Ural State University

д-р техн. наук, профессор кафедры автоматики и управления

T. A. Barbasova, South Ural State University

канд. техн. наук, доцент кафедры автоматики и управления

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Published

2016-03-02

Issue

Section

Automated process control systems