Sliding Mode Control of Reactor Power Based on Model Prediction

Abstract

In order to ensure the safe and stable operation of the pressurized water stack, the core power of the reactor needs to be controlled. Traditional PID control is difficult to meet the modern control requirements, and the sliding mode control method is applied to the reactor core power control to achieve the purpose of automatic control. The state space model is established through the reactor core physical model, and the traditional sliding mode control algorithm and the model prediction sliding mode control algorithm are introduced to control the core power. The parameters of the PID controller were normalized using the particle group algorithm. By simulating the control effect of the three controllers by MATLAB/Simulink software, the results show that the model predicts the sliding mode control method without overshoot and shaking, has the best comprehensive performance, can quickly and accurately control the reactor core power and track the load change.