Power level control of nuclear research reactors using a particle swarm optimized fuzzy controller
2018 Twentieth International Middle East Power Systems Conference MEPCON • 2018
معلومات البحث
المؤلفون
Omar Mohamed Salim, Abdel-Rahman Abdel-Rahman El-kafas, Salah Ghazy Ramadan, Ahmed Mohamed Badawy
الكلمات المفتاحية
Fuzzy logic control, Intelligent control, Nuclear
research reactor, Particle swarm optimization.
المجلة العلمية
2018 Twentieth International Middle East Power Systems Conference MEPCON
الناشر
IEEE
المجلد
Not Available
العدد
Not Available
الصفحات
Not Available
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
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.
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