Advanced control technique application in U-tube steam generator of nuclear power station

A water level control system for a nuclear steam generator (SG) is proposed. A method to improve the performance of nuclear steam generator in nuclear power station is introduced. Combination of genetic algorithm (GA) technique and fuzzy logic control is carried out. The optimal parameters of fuzzy logic controller are achieved. These parameters include; the membership functions of water level error and changes water level error, the rule base, and the input scaling gains. Steam generator model is implemented using MATLAB/SIMULINK. The optimal controller was applied to control the water level of nuclear SG and it's compared with conventional controller. Simulation results indicate that the optimal fuzzy controller greatly improves the performance of nuclear SG. Moreover the proposed controller is robust to any disturbance related to sudden changes in steam flow rate and water level. Moreover the proposed controller is robust to any disturbance related to load variations.