Neural assisted PID controllers design for control systems

被引：0

作者：

Chou, PC ^{[1
]}

Dzen, AT ^{[1
]}

Hsieh, SC ^{[1
]}

机构：

[1] DaYeh Univ, Dept Elect Engn, ChungHwa City, Taiwan

来源：

PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE | 2005年

关键词：

soft computing; PID controller; and neural networks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Soft computing [1], [2] is vastly discussed and used in academic as well as in industry these days. Neural networks (NN) can be used as controllers which required detail and careful design for most plants [3]. There exists no general rule for designing NN as a controller yet, because a fine tune is always necessary to match a specified plant [4]. In this paper, genetic algorithm (GA) [5], [6], [7], [8] approach is widely used for finding such a NN. This NN is a PID assistor in this paper. From the simulation results, better transient response can be expected if this assisted neural controller (NC) is selected.

引用

页码：199 / 204

页数：6

共 15 条

[1] Design of PI and PID controllers with transient performance specification [J].

Basilio, JC ;

Matos, SR .

IEEE TRANSACTIONS ON EDUCATION, 2002, 45 (04) :364-370

[2]

Chou PC, 2004, LECT NOTES COMPUT SC, V3174, P83

[3]

Chou PC, 2003, CIMSA'03: 2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, P233

[4]

CHOU PC, 2001, PRINCIPLES APPL GENE

[5]

CHOU PC, 2005, IEEE CIMSA 2005

[6]

FORTUNA L, 2001, ADV TK CONT SIGN PRO, P1

[7]

Goldberg D.E., 1989, OPTIMIZATION MACHINE

[8]

Haupt RL, 2004, Practical Genetic Algorithms, V2nd, DOI DOI 10.1002/0471671746

[9]

Holland JH, 1992, ADAPTATION NATURAL A, DOI DOI 10.7551/MITPRESS/1090.001.0001

[10]

HUNG LC, 2002, 2002 ROC AUTOMATIC C

← 1 2 →