Adaptive Neuro-Fuzzy Self Tuned-PID Controller for Stabilization of Core Power in a Pressurized Water Reactor

There has been a lot of interest in generating electricity using nuclear energy recently. This is due to the features such source energy. The main part system reactor core, especially most widely used Pressurized Water Reactor (PWR). hottest system; security risks and economic possibilities must be considered. Controlling this can increase efficiency power systems. study presents dynamic model (PWR), including reactor's plenums upper lower, connecting piping between core steam generator. In addition, an adaptive neuro-fuzzy (ANFIS) self-tuning PID Controller for presented. controller enhance performance characteristics PWR by supporting profile power, coolant fuel, hot leg temperatures. suggested proposed ANFIS estimated through comparison with conventional PID, neural network, fuzzy controllers. results showed that best over traditional All simulations are throughout MATLAB/SIMULINK.