Simulation of automatic control optimization model based on improved PID algorithm

被引：0
|
作者：
Yong, Liu [1 ]
机构：
[1] Shandong Polytech, Dept Elect Engn, Jinan 250104, Shandong, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION | 2015年 / 12卷
关键词：
improved PID algorithm; automatic control; stability;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
the stable control for industrialization automatic control system is the key for stable working of automatic control system. In the process of automatic control with the traditional algorithm, the influence of the outside interference factor to the automatic control system is not considered, thus, the stability of the automatic control system is reduced. An automatic control method based on improved PID algorithm is proposed. The control principle of the PID algorithm is analyzed, the controlled quantity is regarded as variables, using neural network algorithm to optimize PID algorithm, through training and learning of neural network to change the stability of PID control algorithm. The simulation results show that the improved algorithm can improve the stability of the automatic control system, and the effect is satisfactory.
引用
收藏
页码：485 / 489
页数：5
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