A Type of Directly Self-adaptive PID Controller Based on Neural Network

被引：0
|
作者：
Chong, Han [1 ]
机构：
[1] Commercial Aircraft Corp China, Jinke Rd 5188, Shanghai, Peoples R China
来源：
PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015) | 2016年 / 47卷
关键词：
neural network; PID control; nonlinearity; learning algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A type of directly self-tuning PID controller based on neural network is proposed in this paper. Its main characteristic is that it no longer includes independent PID controller and put neural network and the law of PID controller together. Showing the learning algorithm of this neural network controller and analyzing the stability of this control system. The simulated results prove that this kind of control system is more adaptive and robust.
引用
收藏
页码：1512 / 1515
页数：4
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