Synthesis of a neural network controller for an automated system controlling a cascade of centrifugal extractors

DOI: 10.21293/1818-0442-2024-27-4-97-102

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Abstract: The paper considers the synthesis of an automated control system for a cascade of centrifugal extractors with a neural network controller trained by the method of error back propagation through a direct neuroemmulator with a reference model. The identification of the control object was carried out, the given standard deviation is 1.63%. The quality indicators of the con-trol system with a thermostat are superior to the control system with a PID controller. The developed automated control system for the extraction unit based on a neural network controller has been tested for rudeness.

Keywords: automated control system, extraction, artificial neural network, neural network controller

Funding: The study was supported by the National Research Tomsk Polytechnic University program (PISH-NIR-2024-005).

For citation:
Emelyanov A. M., Kozlova Yu. M., Nadezhdin I. S. Synthesis of a neural network controller for an automated system controlling a cascade of centrifugal extractors. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2024, vol. 27, no. 4, pp. 97–102. DOI: 10.21293/1818-0442-2024-27-4-97-102

Authors and copyright holders:

  • Emelyanov A. M. , National Research Tomsk Polytechnic University (Tomsk, Russia)
  • Kozlova Yu. M. , National Research Tomsk Polytechnic University (Tomsk, Russia)
  • Nadezhdin I. S. , National Research Tomsk Polytechnic University (Tomsk, Russia)

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