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A simulation model based on hybrid neural networks is proposed, which allows predicting likely parameters of rapidly changing loads of a multi-parameter electro-technological object. The implementation of a predictive simulation model in the structure of an automatic control system for a rapidly changing technological process is considered using the example of an electric arc furnace. The analysis of real and simulated modes of the phase current varying in time according to the probability law was performed. Structural diagram of the implementation of the developed model in the structure of the system of automatic control of the electric rapid-changing mode of the technological complex as part of the electric arc furnace is proposed.

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Simulation Modeling of Rapidly Changing Loads of a Multi-parameter Object on the Basis of Hybrid Neural Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Volodymyr Zinovkin,
  • Mykola Antonov,
  • Vira Savchenko,
  • Mykhailo Zaluzhnyi

摘要

A simulation model based on hybrid neural networks is proposed, which allows predicting likely parameters of rapidly changing loads of a multi-parameter electro-technological object. The implementation of a predictive simulation model in the structure of an automatic control system for a rapidly changing technological process is considered using the example of an electric arc furnace. The analysis of real and simulated modes of the phase current varying in time according to the probability law was performed. Structural diagram of the implementation of the developed model in the structure of the system of automatic control of the electric rapid-changing mode of the technological complex as part of the electric arc furnace is proposed.