稳压器改进免疫模糊PID解耦控制研究  

Pressurizer Decouple Control System Based on Improved Immune Fuzzy PID

作　　者：段宇[1] 马敏阳[1] Duan Yu

机构地区：[1]南京工程学院能源与动力工程学院,江苏南京211167

出　　处：《工业控制计算机》2022年第3期80-82,共3页Industrial Control Computer

基　　金：南京工程学院校级科研基金项目(QKJ201902)。

摘　　要：由于压水堆核电站稳压器在负荷发生变化时压力和水位的互相耦合现象,目前稳压器压力和水位常用的独立单回路PID控制系统往往不能取得较好的控制效果。在对稳压器压力和水位耦合的数学模型进行解耦的基础上,设计了改进免疫模糊PID控制器,并采用经验法及差分粒子群(DEPSO)优化算法对控制器的参数进行优化。该控制方法通过MATLAB仿真平台验证取得了良好的控制效果,可以为核电站生产过程中的安全、经济、稳定运行提供了有力保障。The pressure and water level of pressurizer are mutual coupled when the charge of the PWR nuclear power plant(PNPP) changes,so the indepent single loop PID control system which is commonly used for the pressure and water level control in pressurizer can not anchieve good enough control effect.Based on decoupling the mathematical model of the coupling pressure and water level of pressurizer,an improved immune fuzzy PID controller is designed and the parameters of the controller are optimized by empirical method and differential particle swarm optimization(DEPSO) algorithmn in this paper.The control method which is verified by MATLAB simulation platform can achieve good control effect,and it can provide a strong guarantee for the safe,economic and stable operation of the PNPP production process.

关 键 词：稳压器 压水堆核电站 参数优化 免疫模糊PID控制器 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM623.91[自动化与计算机技术—控制科学与工程]