Intelligent tuning PID controllers

Author

Yamamoto, Toru ; Kaneda, Masahiro ; Oki, Toshitaka ; Watanabe, Eiji ; Tanaka, Kanya

Author_Institution

Dept. of Commun. Eng., Okayama Prefectural Univ., Japan

Volume

3

fYear

1995

fDate

22-25 Oct 1995

Firstpage

2610

Abstract

Recently, neural network techniques have been widely used in adaptive and learning control schemes for nonlinear systems. However, generally, it costs a lot of time for learning in the case applied in control systems. Furthermore, the physical meaning of neural networks constructed as a result, is not obvious. In this paper, a design method of intelligent tuning PID controllers is proposed, which has a fusional structure of self-tuning and neural network schemes. This method enables us to understand a physical meaning of the control parameters, and also to adjust PID gains quickly

Keywords

intelligent control; neurocontrollers; nonlinear control systems; three-term control; tuning; design method; fusional structure; intelligent tuning PID controllers; learning control schemes; neural network techniques; nonlinear systems; Adaptive control; Control systems; Costs; Design methodology; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Three-term control; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538176

Filename

538176