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Power level control of nuclear research reactors using a particle swarm optimized fuzzy controller

2018 Twentieth International Middle East Power Systems Conference MEPCON • 2018
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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.