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<p>This paper presents the development of an intelligent control system for optimal roll positioning in pipe production on a&#xa0;continuous rolling mill. The proposed approach is based on optimal control theory and a&#xa0;formalized mathematical model of the regulation process. The developed system accounts for the influence of key technological parameters, including rolling forces, interstand tensions, and roll rotation speeds. This integrated control enables the minimization of pipe shell wall-thickness deviations throughout the production cycle. The software platform is implemented using a&#xa0;microservices architecture, which ensures system flexibility, scalability, and high fault tolerance. System implementation enhances the reproducibility and consistency of pipe quality during production. Furthermore, it contributes to a&#xa0;reduction in process losses and defective output, thereby improving overall equipment effectiveness.</p>

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Development of an intelligent control system for optimal roll positioning in pipe production on a continuous rolling mill

  • 期刊论文

  • 发表日期：

    2026年3月1日

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  • I. Yu. Pyshmintsev,
  • E. A. Shkuratov,
  • V. D. Belov,
  • E. R. Guseinov,
  • N. N. Kodos,
  • S. K. Rosolenko

摘要

This paper presents the development of an intelligent control system for optimal roll positioning in pipe production on a continuous rolling mill. The proposed approach is based on optimal control theory and a formalized mathematical model of the regulation process. The developed system accounts for the influence of key technological parameters, including rolling forces, interstand tensions, and roll rotation speeds. This integrated control enables the minimization of pipe shell wall-thickness deviations throughout the production cycle. The software platform is implemented using a microservices architecture, which ensures system flexibility, scalability, and high fault tolerance. System implementation enhances the reproducibility and consistency of pipe quality during production. Furthermore, it contributes to a reduction in process losses and defective output, thereby improving overall equipment effectiveness.