[1]邹益民.基于SIMULINK-S函数的联合站脱水单神经元PID仿真[J].工业仪表与自动化装置,2014,(05):29-32.
　ZOU Yimin.Simulation of single neuron PID control for the union station crude oil dehydration process based on SIMULINK-S functions[J].Industrial Instrumentation & Automation,2014,(05):29-32.
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基于SIMULINK-S函数的联合站脱水单神经元PID仿真()

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

卷:
期数:
2014年05期
页码:
29-32
栏目:
出版日期:
2014-10-15

文章信息/Info

Title:
Simulation of single neuron PID control for the union station crude oil dehydration process based on SIMULINK-S functions
作者:
邹益民
（南京铁道职业技术学院 通信信号学院，南京210031）
Author(s):
ZOU Yimin
（School of Railway Signalling & Communication, Nanjing Institute of Railway Technology, Nanjing 210031,China)
关键词:
SIMULINK; S-函数; 联合站; 脱水过程; 神经网络; PID控制
Keywords:
SIMULINK;  S-function;  union station;  dehydration processs;  neural network;  PID control.
分类号:
TP273
DOI:
-
文献标志码:
A
摘要:
集输联合站的油水分离是保证产出原油质量的关键工艺过程。该文在对油水分离沉降过程动态特性深入研究的基础之上，给出了其数学模型。单神经元PID控制具有自学习和自适应能力，在一定程度上解决了传统PID调节器不易在线实时整定参数的不足，提高了控制器对系统和环境变化的适应能力。SIMULINK中可用S-Function方便灵活地构建各种自定义仿真模型。该文使用SIMULINK中的S-Function Builder模块以快速构建单神经元PID控制模块，并在SIMULINK中对单神经元PID控制方案进行了仿真研究，仿真结果表明该算法可获得更好调节质量。
Abstract:
The oil-water separation process of the gathering and transportation union station was the key procedure to ensure the quality of crude oil product. In this paper, on the basis of in-depth study of the dynamics behavior of oil-water separation and settlement process, its mathematical model was deduced. The single neuron PID controller had the self-learning and adaptive capabilities, thus to some extends, solved the difficulties for traditional PID lack of tuning controller parameters on line real-time, and improved the controller ability of adapting to system and environmental change. In SIMULINK, a variety of custom simulation models could be built using S-Function conveniently and flexibly. As used herein, the dynamic model of single neuron PID controller was built quickly by SIMULINK S-Function Builder module, and the single neuron PID control algorithm was also simulation researched in SIMULINK. Simulation results showed that algorithm could effectively improve the control quality.

参考文献/References:

[1] 邹益民.一种基于MATLAB的浮球姿态视觉检测系统[J]. 制造业自动化,2012,24:99-103.
2] 邹益民,徐赤.借助Simulink及ADAM模块构建半实物仿真系统[J].自动化仪表,2012,10:9-12+16.
[3] 王兵树,姜萍,林永君,等.SIMULINK中自抗扰控制技术自定义模块库的创建[J].系统仿真学报,2010(03):10-615.
[4] 孙玉华,邓凡良,周玉国,等.联合站油水分离过程动态数学模型[J].大庆石油学院学报,1998,22(2):82-85.
[5] 邹益民,徐赤.原油脱水过程单神经元PID解耦控制研究[J].测控技术,2013(06):61-64+68.
[6] 徐丽娜.神经网络控制[M].北京:电子工业出版社,2003: 115- 165.
[7] 刘金琨.先进PID控制及其MATLAB仿真[M].北京:电子工业出版社,2003:156-166.

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备注/Memo

备注/Memo:
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更新日期/Last Update: 1900-01-01