The automatic control system of a multi-component nonequilibrium extraction process in the pulse column

A. G. Goryunov, V. S. Mikhaylov

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


The construction of the process dynamic model and the automatic control system of a plant constitute the two major objectives that allow the plant to be controlled in automatic mode. The model selected was the dynamic model of the nonequilibrium extraction process in the pulse column based on the mass transfer diffusion kinetics. The use of the molecular diffusion equation in the calculations is conditioned by the fact that diffusion limits the examined process of mass transfer and allows the kinetic processes of the reaction to be disregarded. For the developed model, spatial-temporal profiles were calculated for the distribution of uranium, nitric acid, plutonium, thorium, and neptunium concentrations throughout the height of the column extractor after a step change in the aqueous phase flow rate. The results of the head column automatic control system (ACS) synthesis are presented for the operation in the first and second cycles of irradiated nuclear fuel extraction purification. Several options for the system were examined, with their structural and parametric syntheses being performed on the basis of the column linear dynamic model. The findings of the research are presented in relation to the ACS with a constant-rate actuating mechanism. Several methods of development of the ACS software and hardware tools were studied for the implementation of the formulated requirements.

Original languageEnglish
Pages (from-to)1034-1043
Number of pages10
JournalJournal of Process Control
Issue number6
Publication statusPublished - 1 Jul 2012


  • Automatic control system
  • Computer simulation
  • Dynamic mathematical model
  • Extraction column
  • PUREX process
  • Radiochemistry
  • Re-processing of spent nuclear fuel

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Modelling and Simulation
  • Computer Science Applications

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