Title: Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process Show Chinese title

Title: 用于乏核燃料处理过程中铀提取-洗涤操作的非线性模型预测控制

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. Show Chinese abstract

Abstract: 本文通过使用设定点跟踪MPC（模型预测控制）来解决乏燃料处理过程（PUREX-钚铀精炼提取）中铀提取-洗涤操作的特殊性。 所提出的控制器使用进料溶液流量作为被控变量，以控制提取步骤中溶剂的饱和度。 此外，它保证不会在萃余液中损失铀，并确保操作过程中的设备限制。 仿真结果表明，跟踪NMPC有效确保了准确的设定点跟踪和约束保障。 因此，系统可以被引导到其最佳工作状态，避免并从约束违反中恢复。 控制性能与PID和开环控制器进行了比较。