Study On The Mechanism Modeling Analysis And Control Of Nuclear Power Plant Pressurizer

Due to the complex dynamic characteristics of the nuclear reactor, the precise mathematical model is difficult to obtain, its control research has been a difficult and hot spot in this field. The PID control method is difficult to adapt to the external disturbance and the uncertainty of the object, and the control effect is not ideal.In this paper, PWR regulator mechanism modeling conducted to analyze the transient characteristics of its water level. Based on the basic law of conservation, the use of lumped parameter method, part of the physical parameters and the fitting formula approach, this paper seeks coupling relationship between water level and pressure regulator, and analyzes the influences of regulator pressure and water level, and ultimately establish a model for easy control.Based on the pressurized water reactor nuclear power plant pressurizer pressure and water level of mathematical model, combined with nuclear power simulator, dynamic characteristics of pressure and water level dynamic performance are tested. Comparing the results, the maximum relative error is less than 1%, to verify the correct mathematical model built and effectiveness.According to the model, compared with PID control, state feedback control and sliding mode control strategy, control effect was observed. Compared with PID control, state feedback control can reduce the pressure of the pressure by 30%, the water level of the adjustment time is reduced by 60%, overshoot is also reduced by 3%, improve the system to follow the performance, but there is a large static deviation. Sliding Mode Control ensures the systems following and stability, and virtually eliminates the static pressure and water level deviations. The results show that the sliding mode control system enables regulator model built two inputs two outputs to achieve the desired control objectives. There is uncertainty in the process of establishing the regulator model. During the actual operation, uncertainty and external noise parameters d’ will be produced. In order to verify the design of system reliability, this paper analyzes the system robust sensitivity minimization problem, and the robust stabilization problem. From the simulation results, the noise suppression ratio is less than 2.5 × 105, the control action is less than 90, both of which are less than constant and decay over time. The results proved that the designed sliding mode control system has strong robustness.