Abstract
The pressure control function of Pressurizer in the PWR nuclear power plant is one of the safety functions of the nuclear power plant. The traditional pressure control adopts the PID control method and manually adjusts the three parameters (Kp, Ki and Kd) to minimize the difference between the actual pressure value and the set value, thereby achieving the purpose of setting the three parameters (Kp, Ki and Kd) and determining the control model. The method of manually adjusting the three parameters (Kp, Ki and Kd) has low work efficiency, and generally requires several attempts to find parameters that meet the expectations, and depends on the work skills of the personnel.
In this study, Genetic Agorithm was used to convert the three parameters (Kp, Ki and Kd) into the three gene coding sequences, and the three parameters (Kp, Ki and Kd) were quickly determined through individual operation operators (selection, crossover and mutation). The research shows that the efficiency of parameter adjustment by genetic algorithm is much higher than that of manual parameter adjustment, and the optimization result is better, the control system optimized by the genetic algorithm can reach the steady state faster, has less overshoot and shorter rise time. This achievement can be considered for subsequent application in the nuclear power plants affiliated to CGNPC.