Evolutionary Algorithms based Fuzzy Logic Controller for Pressurized Water Nuclear Reactor

In this paper, the reduced model of the Pressurized Water Nuclear Reactor (PWR) reactor is derived based on the point kinetics equations and thermal equilibrium relations. The power level of the nuclear reactor is controlled by adjusting the insertion reactivity of the rod. Several controllers such as Genetic Algorithm based PID controller (GAPID), Fuzzy Logic Controller (FLC), Genetic Algorithm based Fuzzy Logic Controller (GAFLC), Particle Swarm Optimization (PSO) based Fuzzy Logic Controller (PSOFLC) are used to control the power level of the PWR reactor. The simulation results show that the Genetic Algorithm based Fuzzy Logic Controller (GAFLC) shows the satisfactory response in both servo and regulatory level than any other control techniques.