Adaptive control method for core power control in TRIGA Mark II reactor

International Nuclear Science, Technology and Engineering Conference 2017

原子能学

Minhat, Mohd Sabri^1 ; Selamat, Hazlina^2 ; Mohd Subha, Nurul Adilla^2

Reactor Electronic, Instrumentation and Control Section, Reactor Technology Centre, Malaysian Nuclear Agency, Kajang

43000, Malaysia^1

Control and Mechatronics Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai

81310, Malaysia^2

关键词: Adaptive Control;    Adaptive control methods;    Generalised minimum variance controller;    Plant transfer function;    Point-kinetics models;    Reactor TRIGA PUSPATI;    Self tuning controls;    Thermal-hydraulic model;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/298/1/012028/pdf
DOI  :  10.1088/1757-899X/298/1/012028

来源: IOP

【 摘 要 】

The 1MWth Reactor TRIGA PUSPATI (RTP) Mark II type has undergone more than 35 years of operation. The existing core power control uses feedback control algorithm (FCA). It is challenging to keep the core power stable at the desired value within acceptable error bands to meet the safety demand of RTP due to the sensitivity of nuclear research reactor operation. Currently, the system is not satisfied with power tracking performance and can be improved. Therefore, a new design core power control is very important to improve the current performance in tracking and regulate reactor power by control the movement of control rods. In this paper, the adaptive controller and focus on Model Reference Adaptive Control (MRAC) and Self-Tuning Control (STC) were applied to the control of the core power. The model for core power control was based on mathematical models of the reactor core, adaptive controller model, and control rods selection programming. The mathematical models of the reactor core were based on point kinetics model, thermal hydraulic models, and reactivity models. The adaptive control model was presented using Lyapunov method to ensure stable close loop system and STC Generalised Minimum Variance (GMV) Controller was not necessary to know the exact plant transfer function in designing the core power control. The performance between proposed adaptive control and FCA will be compared via computer simulation and analysed the simulation results manifest the effectiveness and the good performance of the proposed control method for core power control.