Evolutionary Algorithms based Fuzzy Logic Controller for Pressurized Water Nuclear Reactor

Author

Santhiya, M. ; Pappa, N.

Author_Institution

Dept. of Instrum. Eng., Madras Inst. of Technol., Chennai, India

fYear

2014

fDate

8-10 May 2014

Firstpage

198

Lastpage

204

Abstract

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.

Keywords

fuzzy control; genetic algorithms; nuclear power stations; particle swarm optimisation; three-term control; GAFLC; GAPID; PID controller; PSOFLC; PWR reactor; evolutionary algorithms; fuzzy logic controller; genetic algorithm; insertion reactivity; particle swarm optimization; point kinetics equations; pressurized water nuclear reactor; reduced model; regulatory level; rod; satisfactory response; thermal equilibrium relations; Annealing; Assembly; Inductors; Kinetic theory; Niobium; FLC; GA; PSO; PWR; reactivity; reactor power;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on

Conference_Location

Ramanathapuram

Print_ISBN

978-1-4799-3913-8

Type

conf

DOI

10.1109/ICACCCT.2014.7019428

Filename

7019428