JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
A Robust PID Control Method with Neural Network |
| 영문제목(English Title) |
A Robust PID Control Method with Neural Network |
| 저자(Author) |
Seong-Ho Kang
Yong-Gu Lee
Ki-Hwan Eom
|
| 원문수록처(Citation) |
VOL 02 NO. 01 PP. 0046 ~ 0051 (2004. 03) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
The problem of reducing the effect of an unknown disturbance on a dynamical system is one of the most fundamental issues in control design. We propose a robust PID (Proportional Integral Derivative) control method with neural network for improving the performance due to the rejection of an unknown disturbance. The proposed system consists of a model of the plant, a conventional PID controller and a multi-layer neural network, and is composed of two loop; the first loop enables the system to achieve stability of system, the second loop rejects an unknown disturbance. Simulation and experiment results show that the proposed method improves considerably on the performance of the conventional PID control method and the typical IMC method using neural network. |
| 키워드(Keyword) |
Robust control
multilayer neural network
PID control
|
| 파일첨부 |
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