基于模糊差分进化算法的甲醇锅炉控制系统  

Methanol Boiler Control System Based on Fuzzy Differential Evolutionary Algorithm

作　　者：康晓锐 刘玉芝 翟宽宽 郭威 李大伟 KANG Xiaorui;LIU Yuzhi;ZHAI Kuankuan;GUO Wei;LI Dawei(School of Electrical and Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,Hebei,China)

机构地区：[1]石家庄铁道大学电气与电子工程学院,河北石家庄050043

出　　处：《济南大学学报（自然科学版）》2020年第6期582-587,共6页Journal of University of Jinan(Science and Technology)

基　　金：国家自然科学基金项目(51807124);河北省自然科学基金项目(E2018210144);河北省高等学校科学技术研究项目(ZD2018217)。

摘　　要：为了解决锅炉温度控制系统控制精度低、调节时间长等问题,提出一种基于模糊差分进化算法的甲醇锅炉控制系统,先采用模糊控制对差分进化算法的变异算子和交叉概率算子2个影响因子进行优化,然后通过优化的差分进化算法对锅炉比例积分微分控制器的比例系数、积分时间常数、微分时间常数3个参数进行优化。仿真结果表明,模糊差分进化算法提高了甲醇锅炉系统的控制精度和响应速度。To solve the problems of low control accuracy and long regulation time of boiler temperature control system,a methanol boiler control system based on the fuzzy differential evolutionary algorithm was proposed.Two influence factors of differential evolutionary algorithm including mutation operators and cross probability operators were optimized by using the fuzzy control.Then three parameters of boiler proportional integral differential controller including the proportional coefficient,integral time constant,and differential time constant were optimized by using the optimized differential evolutionary algorithm.The simulation results show that the fuzzy differential evolutionary algorithm improves the control accuracy and response speed of methanol boiler control system.

关 键 词：甲醇锅炉 模糊控制 差分进化控制 参数优化 

分 类 号：TM273[一般工业技术—材料科学与工程]