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Communication Dans Un Congrès Année : 2023

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

Vincent Vanel
Sylvain Costenoble
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Binh Dinh
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Résumé

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.
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Dates et versions

hal-04202833 , version 1 (11-09-2023)

Identifiants

  • HAL Id : hal-04202833 , version 1

Citer

Duc-Tri Vo, Ionela Prodan, Laurent Lefèvre, Vincent Vanel, Sylvain Costenoble, et al.. Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process. The 20th International Conference on Informatics in Control, Automation and Robotics, Dec 2023, Rome, Italy. ⟨hal-04202833⟩

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