Abstract:In order to optimize the coolant average temperature control system,a fuzzy PI parallel controller is designed.This paper further studies the average temperature characteristics of the coolant under the input of r-bar speed and designs the controller based on the rod speed.In order to optimize the control quality and reduce the regulation time,it is necessary to introduce advanced control algorithm to optimize the control scheme.Based on the relevant data of Qinshan Phase II nuclear power plant,this paper establishes the controlled object model of coolant average temperature,and then uses the method of parallel switching between fuzzy control and PI control to make up for the defects of fuzzy control in the small range of controlled quantity and PI control is difficult to improve the control speed.Finally a comparison is made with traditional PI control effect.The results show that the fuzzy PI of coolant average temperature parallel control system proposed in this paper has faster response speed and better control performance.