Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process

Duc-Tri Vo, Duc-Tri Vo, Ionela Prodan, Laurent Lefèvre, Vincent Vanel, Sylvain Costenoble, Binh Dinh

2023

Abstract

This paper addresses the particularities of the uranium extraction-scrubbing operation in a spent nuclear fuel treatment process (PUREX-Plutonium Uranium Refining by Extraction) through the use of set-point tracking MPC (Model Predictive Control). The presented controller uses the feed solution flow rate as the manipulated variable to control the saturation of the solvent at the extraction step. In addition, it guarantees not to loose uranium in the raffinates, and ensures equipment limitations during operation time. Simulation results show that the tracking NMPC effectively ensures accurate set point tracking and constraints guarantee. As a result, the system can be driven to its optimal working condition, avoid and recover from constraint violations. The control performance was compared with PID and openloop controllers.

Paper Citation

in Harvard Style

Vo D., Prodan I., Lefèvre L., Vanel V., Costenoble S. and Dinh B. (2023). Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 37-43. DOI: 10.5220/0012180700003543

in Bibtex Style

@conference{icinco23,
author={Duc-Tri Vo and Ionela Prodan and Laurent Lefèvre and Vincent Vanel and Sylvain Costenoble and Binh Dinh},
title={Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={37-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012180700003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process
SN - 978-989-758-670-5
AU - Vo D.
AU - Prodan I.
AU - Lefèvre L.
AU - Vanel V.
AU - Costenoble S.
AU - Dinh B.
PY - 2023
SP - 37
EP - 43
DO - 10.5220/0012180700003543
PB - SciTePress