Load-following Control for APR+ Using Fuzzy Model Predictive Control

摘要

In this paper, a fuzzy model predictive control method is applied to design an automatic controller for thermal power and axial shape index (ASI) in APR+. Based on a fuzzy model consisting of the control rod position and the reactor power, ASI, the future outputs are predicted by using the fuzzy model identified by a subtractive clustering method of a fast and robust algorithm. The genetic algorithm that is useful to accomplish multiple objectives is used to optimize the fuzzy model predictive controller. A 3-dimensional nuclear reactor analysis code is used to verify the proposed controller for a nuclear reactor. From results of numerical simulation to check the performance of the proposed controller at the increase or decrease of a desired load (rapid change, load follow), it was known that the proposed controller adjusts the control rod position so that the nuclear reactor power and ASI tracks very well its setpoint change according to load.