Power level control of nuclear research reactors using a particle swarm optimized fuzzy controller
2018 Twentieth International Middle East Power Systems Conference MEPCON • 2018
Publication Information
Authors
Omar Mohamed Salim, Abdel-Rahman Abdel-Rahman El-kafas, Salah Ghazy Ramadan, Ahmed Mohamed Badawy
Keywords
Fuzzy logic control, Intelligent control, Nuclear
research reactor, Particle swarm optimization.
Journal
2018 Twentieth International Middle East Power Systems Conference MEPCON
Publisher
IEEE
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
In this paper, a fuzzy logic controller has been developed for controlling power level in nuclear research reactors. The particle swarm optimization algorithm has been used for Off-line optimization of the controller parameters. The Second Egyptian Testing and Research Reactor (ETRR-2) has been selected as a test bed for the proposed controller. The optimization and testing processes are implemented in MATLAB Simulink under different operation scenarios. The results of the simulation process revealed that the proposed control algorithm has an efficient performance for both steady state and transient control operations in nuclear research reactors.
Staff Members - Benha University