A trajectory tracking genetic fuzzy logic controller for nuclear research reactors

被引：25

作者：

Coban, Ramazan ^{[1
]}

Can, Burhanettin ^{[2
]}

机构：

[1] Cukurova Univ, Dept Comp Engn, TR-01330 Adana, Turkey

[2] Marmara Univ, Dept Elect & Comp Educ, TR-34046 Istanbul, Turkey

来源：

ENERGY CONVERSION AND MANAGEMENT | 2010年 / 51卷 / 03期

关键词：

Nuclear reactor control; Fuzzy logic controller; Genetic algorithms; IDENTIFICATION;

D O I：

10.1016/j.enconman.2009.11.003

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this study, a trajectory tracking genetic fuzzy logic controller was designed for research reactors. Membership functions and action weights of the fuzzy controller were optimally determined by genetic algorithms. The behavior of the controller was tested for various initial and desired power levels as well as under disturbance. It was seen that the controller could control the system successfully under all conditions within the acceptable error tolerance. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：587 / 593

页数：7

共 17 条

[11]

Goldberg DE., 1989, GENETIC ALGORITHMS S, V13

[12] Multi-model predictive control method for nuclear steam generator water level [J].

Hu, Ke ;

Yuan, Jingqi .

ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (05) :1167-1174

[13]

Michalewicz Z., 1996, Genetic Algorithms + Data Structures = Evolution Programs, V3rd

[14] Controlling the power output of a nuclear reactor with fuzzy logic [J].

Ruan, D ;

van der Wal, AJ .

INFORMATION SCIENCES, 1998, 110 (3-4) :151-177

[15] FUZZY IDENTIFICATION OF SYSTEMS AND ITS APPLICATIONS TO MODELING AND CONTROL [J].

TAKAGI, T ;

SUGENO, M .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1985, 15 (01) :116-132

[16]

Tanaka K., 1997, An Introduction to Fuzzy logic for practical applications

[17]

TSUKAMOTO Y, 1989, ADV FUZZY SET THEORY, P137

← 1 2 →