核电站冷却剂平均温度的DMC预测控制方法

DMC Predictive Control Method for Average Coolant Temperature in Nuclear Power Station

针对压水堆核电站冷却剂平均温度系统具有较强的刚性、开环不稳定、复杂非线性等特点,建立了R棒棒速控制下的冷却剂平均温度被控对象模型。提出了一种基于动态矩阵控制(DMC)算法的非自衡系统预测控制方法,弥补了DMC算法的控制局限性。然后求解出送入控制棒驱动机构的控制信号。最后利用MATLAB仿真平台搭建控制系统。实验结果表明,提出的冷却剂平均温度预测控制系统响应速度更快,具有良好的控制性能。

In view of the strong rigidity,open-loop instability and complex non-linearity of the average coolant temperature system in PWR nuclear power plants,this paper establishes the controlled object model of the average coolant temperature under R rod speed control,and proposes a predictive control method of non-self-balancing system based on Dynamic Matrix Control(DMC)algorithm.This algorithm makes up for the control limitation of DMC algorithm.Then the control signal sent into the control rod drive mechanism is obtained.Finally,the control system is built on the simulation platform of MATLAB.By comparing the experimental results,it is proved that the predictive control system of coolant average temperature proposed in this paper has faster response speed and better control performance.