Research of the pipe flow measurement and control system based on BP Neural Networks PID

被引：0
|
作者：
Hu, Kai-ming [1 ]
Li, Yue-zhong [1 ]
Guan, Xiao-ming [1 ]
机构：
[1] East China Inst Technol, Coll Informat & Elect Engn, Fuzhou 344000, Jiangxi, Peoples R China
来源：
2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL I | 2010年
关键词：
BP neural network PID; flow system's model; simulation;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
As the modern industrial technology development, the accuracy of flow control has become increasingly demanding. The pipeline flow measurement and control system comes under the infulences such as its own attributes, the liquid friction agencies, the impact of noise. The control plant has a certain lag time delay and capacity delay characteristics. In this paper a pipe flow measurement and control system based on neural networks PID algorithm is expounded. It establishes the system's mathematical model, designs a suitable BP neural network PID controller for the system, and carries on the simulation. This design can well solve the control request of the flow system that can not meet the precise need because of the time-varying complicated nonlinearity characteristics.
引用
收藏
页码：27 / 30
页数：4
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