Inverted pendulum RBF neural network PID controller design

被引：0

作者：

Jing, Yu ^{[1
]}

Jian, Fang ^{[1
]}

机构：

[1] Jilin Teachers Inst Engn & Technol, Inst Elect Engn, Changchun 130052, Peoples R China

来源：

2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014) | 2014年

关键词：

Inverted pendulum; Neural network;

D O I：

10.1109/IS3C.2014.152

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

in view of the first-order inverted pendulum problem such as poor stability, large amount of overshoot, using RBF neural network to PID parameters self-tuning control system. This paper analyzes the RBF neural network tuning PID principles, and for an inverted pendulum system simulation. Simulation results show that the use of RBF neural network tuning PID controller adaptive ability, good quickness, good quality control.

引用

页码：560 / 562

页数：3

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