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
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
收藏
页码:587 / 593
页数:7
相关论文
共 17 条
[1]  
Baba AF, 2004, NUCL ENG INT, V49, P36
[2]  
Bernard J. A., 1988, IEEE Control Systems Magazine, V8, P3, DOI 10.1109/37.7735
[3]  
Can B., 1990, 11 EUR TRIGA US C HE, P11
[4]  
CAN B, 1999, MARMARA U J SCI TECH, V15, P187
[5]  
Coban R, 2005, LECT NOTES ARTIF INT, V3809, P1057
[6]  
COBAN R, 2006, THESIS GEBZE I TECHN
[7]  
COBAN R, 2006, P INT C MOD SIM KON, P1075
[8]   Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base [J].
Cordón, O ;
Herrera, F ;
Villar, P .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2001, 9 (04) :667-674
[9]   Fuzzy logic control to be conventional method [J].
Eker, I ;
Torun, Y .
ENERGY CONVERSION AND MANAGEMENT, 2006, 47 (04) :377-394
[10]  
*GEN AT CO, 1976, INSTR SYST OP MAINT