Controlling Reactor Power of CARR with A Fuzzy Logic Controller

To demonstrate the applicability and feasibility of AI technology in nuclear fields in China, a fuzzy controller to control the reactor power of China Advanced Research Reactor (CARR) is designed in this paper. The fuzzy controller uses Mamdani inference system based 2 inputs-power difference and power period, 1 outputvelocity of control rods. To evaluate the performance of the fuzzy controller, the simulation models of the closed-loop system are set up based on SIMULINK flat. Simulations of 4 transients are computed, which are reactor starting from subcriticality to low reactor power, reactor power increasing from low power to full power, reactor decreasing from full power to low power, and transient under step reactivity disturb. Simulations result show good performance of the fuzzy controller in these 4 transients.