Single neuron PID adaptive control for BLDCM based on algebraic algorithm

被引：0
|
作者：
Diao, Yan [1 ]
Jia, Hongping [1 ]
Geng, Tianjun [1 ]
机构：
[1] JiangSu Univ, Sch Elect & Informat Engn, Zhenjiang, Peoples R China
来源：
ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4 | 2012年 / 220-223卷
关键词：
Artificial Neural Networks (ANN); single neuron; algebraic algorithm; PID control;
D O I：
10.4028/www.scientific.net/AMM.220-223.851
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The brushless DC motor control system often adopts the classic PID control, the advantages of which are as follows: simple to control, easy to adjust the parameter and a certain degree of control precision. But it relies on accurate mathematical model. The permanent magnet brushless DC motor control system is a multi-variable and nonlinear. As to the deficiencies of the classic PID control method, this thesis proposes a method called artificial neural network PID adaptive control method, which is based on algebraic algorithm and overcomes the shortcomings such as the slow convergence of BP algorithm, easy to trap in local minimum, and etc.
引用
收藏
页码：851 / 854
页数：4
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