基于改进PSO-PID控制器的核电站汽轮机转速控制  

Turbine Speed Control in Nuclear Power Plant Based on Improved PSO-PID Controller

作　　者：杨旭红 陈阳 方剑峰 罗新 YANG Xu-hong;CHEN Yang;FANG Jian-feng;LUO Xin(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力大学自动化工程学院,上海200090

出　　处：《控制工程》2022年第12期2177-2183,共7页Control Engineering of China

摘　　要：为了适应核电厂汽轮机转速控制系统中时变的不确定性和非线性,提出了一种基于改进粒子群优化(PSO)算法的PID控制器。以大亚湾核电站900 MW汽轮机模拟机组在某一时期的转速实测数据为基础,首先利用遗忘因子递推最小二乘算法对汽轮机转速控制传递函数模型的参数进行辨识,得到汽轮机转速控制系统的传递函数模型;然后,运用改进PSO算法优化PID控制器参数。MATLAB/Simulink仿真结果表明,该方法具有较高的参数识别精度,增强了系统稳定性,在处理系统的内外干扰时,具有响应速度快、超调小等优点,明显改善了汽轮机转速的控制品质。In order to adapt to the time-varying uncertainties and non-linearities of the turbine speed control system in a nuclear power plant,a PID controller based on improved particle swarm optimization(PSO)algorithm is proposed in this paper.Firstly,based on the actual speed data measured by the 900 MW turbine simulation unit of Daya Bay nuclear power plant in a period,the parameters of the transfer function model for turbine speed control are identified by forgetting factor recursive least square algorithm,and the transfer function model of the turbine speed control system is obtained.Then,the improved PSO algorithm is used to optimize the parameters of the PID controller.MATLAB/Simulink simulation results show that this method has high accuracy for parameter identification,enhances the stability of the system and has the advantages of fast response speed and small overshoot when dealing with the internal and external disturbances of the system,which obviously improves the control quality of the turbine speed.

关 键 词：遗忘因子递推最小二乘算法 改进PSO算法 PID控制器 MATLAB/SIMULINK仿真 

分 类 号：TL362[核科学技术—核技术及应用]