A Study on PID Control and Simulation Based on BP Neural Network

被引：2

作者：

Zhai Fangfang ^{[1
]}

Ma Shaoli ^{[1
]}

Liu Wei ^{[2
]}

机构：

[1] Hebei Chem & Pharmaceut Coll, Dept Elect & Mech Engn, Shihchiachuang, Hebei Province, Peoples R China

[2] Hebei Chem & Pharmaceut Coll, Dept Personnel, Shihchiachuang, Hebei Province, Peoples R China

来源：

AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4 | 2012年 / 468-471卷

关键词：

neural network; BP algorithm; PID control; simulation;

D O I：

10.4028/www.scientific.net/AMR.468-471.742

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces the neural network PID control method, in which the parameters of PID controller is adjusted by the use of the self-study ability. And the PID controller can adapt itself actively. The dynamic BP algorithm of the three-layered network realizes the online real-time control, which displays the robustness of the PID control, and the capability of BP neural network to deal with nonlinear and uncertain system. A simulation is made by using of this method. The result of it shows that the neural network PID controller is better than the conventional one, and has higher accuracy and stronger adaptability, which can get the satisfied control result.

引用

页码：742 / +

页数：2

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