|本期目录/Table of Contents|

[1]陈 露,李 凌.模糊无模型自适应控制在CSTR中的仿真研究[J].工业仪表与自动化装置,2022,(01):36-40+47.[doi:10.19950/j.cnki.cn61-1121/th.2022.01.008]
　CHEN Lu,LI Ling.Simulation research of fuzzy model-free adaptive control in CSTR[J].Industrial Instrumentation & Automation,2022,(01):36-40+47.[doi:10.19950/j.cnki.cn61-1121/th.2022.01.008]
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模糊无模型自适应控制在CSTR中的仿真研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2022年01期
页码:
36-40+47
栏目:
出版日期:
2022-02-15

文章信息/Info

Title:
Simulation research of fuzzy model-free adaptive control in CSTR
文章编号:
1000-0682（2022）01-0000-00
作者:
陈 露; 李 凌
沈阳化工大学 信息工程学院，辽宁 沈阳 110142
Author(s):
CHEN Lu;  LI Ling
(Shenyang University of Chemical Technology,Liaoning Shengyang 110142,China)
关键词:
数据驱动; 无模型自适应控制; 模糊控制; 反应釜; 温度控制
Keywords:
data-driven;  model free adaptive control;  fuzzy control;  reaction;  temperature control
分类号:
TP391.9
DOI:
10.19950/j.cnki.cn61-1121/th.2022.01.008
文献标志码:
A
摘要:
连续搅拌反应釜(Continuously Stirred Tank Reactor,CSTR)是工业生产中常用的设备，其温度系统具有强非线性、耦合性、时变性的特点，反应机理复杂，精确建模困难，传统控制方法很难满足生产需要。为解决上述问题，采用基于数据驱动的无模型自适应方法(Model Free Adaptive Control,MFAC)对反应釜出料温度进行控制。在SIMULINK环境下搭建反应釜数学模型，采用基本MFAC方法对其进行仿真研究，针对控制器参数调整复杂的问题，采用模糊控制方法对无模型控制器参数进行优化。仿真实验结果表明，基于模糊控制的MFAC方法改善了系统动静态性能指标，系统的抗干扰能力和自适应能力得到增强。该方法对反应釜实际生产具有一定的指导作用。
Abstract:
Continuously stirred tank reactor (CSTR) is a common equipment in the chemical production process. Its temperature system has the characteristics of strong nonlinearity, coupling, and time-varying. The reaction mechanism is complex, accurate modeling is difficult and traditional control methods are difficult to meet production needs. In order to solve the above problems, a data-driven model free adaptive control (MFAC) method is used to control the temperature of the reactor discharge. The mathematical model of the reactor is built in the SIMULINK environment and the basic MFAC method is used to simulate it. The fuzzy control method is used to optimize the parameters of the model-free controller for the complicated problem of controller parameter adjustment. Simulation results shows the MFAC method based on fuzzy control improves the dynamic and static performance indicators of the system, and the anti-interference ability and adaptive ability of the system are enhanced. This method has certain guiding function to the actual production of reactors.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2021-10-09?div>
作者简介：
陈露（1998），女，江苏徐州人，硕士研究生，研究方向为智能控制方法研究。
更新日期/Last Update: 1900-01-01