A trajectory tracking genetic fuzzy logic controller for nuclear research reactors

Energy Conversion and Management

Volumn 51, Issue 3, 2010, Pages 587-593

  Coban, Ramazan ^a   Can, Burhanettin ^b  

^a CUKUROVA UNIVERSITY   (Turkey)

^b MARMARA UNIVERSITY   (Turkey)

Author keywords

Fuzzy logic controller; Genetic algorithms; Nuclear reactor control

Indexed keywords

ERROR TOLERANCE; FUZZY CONTROLLERS; FUZZY LOGIC CONTROLLER; FUZZY LOGIC CONTROLLERS; GENETIC FUZZY LOGIC CONTROLLERS; NUCLEAR REACTOR CONTROL; NUCLEAR RESEARCH REACTOR; POWER LEVELS; TRAJECTORY TRACKING;

FUZZY CONTROL; FUZZY LOGIC; FUZZY SETS; GENETIC ALGORITHMS; GENETIC ENGINEERING; MEMBERSHIP FUNCTIONS; NUCLEAR ENERGY; NUCLEAR PROPULSION; REACTOR SHUTDOWNS; RESEARCH REACTORS;

CONTROLLERS;

EID: 72049114971     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2009.11.003     Document Type: Article

References (17)

1. Hu K., and Yuan J. Multi-model predictive control method for nuclear steam generator water level. Energy Convers Manage 49 (2008) 1167-1174
2. Eker I., and Torun Y. Fuzzy logic control to be conventional method. Energy Convers Manage 47 (2006) 377-394
3. Bernard J.A. Use of a rule-based system for process control. IEEE Contr Syst Mag 8 5 (1988) 3-13
4. Ruan D., and Van der Wal A.J. Controlling the power of a nuclear reactor with fuzzy logic. Inform Sci 110 (1998) 151-177
5. Baba A.F. Fuzzy logic controller. Nucl Eng Int 49 (2004) 36-38
6. Coban R., and Can B. Identification and control of ITU Triga Mark-II nuclear research reactor using neural networks and fuzzy logic. Lect Notes Comput Sci 3809 (2005) 1057-1062
7. Instrumentation System, Operation and Maintenance Manual. General Atomic Co.; 1976.
8. Can B, Yavuz H, Akbay E. The investigation of nonlinear dynamics behavior of ITU Triga Mark-II reactor. In: Eleventh European TRIGA users conference papers and abstracts. Heidelberg, Germany; September 1990. p. 11-3.
9. Can B., Baba A.F., and Erdal H. Optimal controller design for Triga Mark-II reactor by using piece-vise trajectory. Marmara Univ J Sci Technol 15 (1999) 187-196
10. Coban R. Fuzzy control of ITU Triga Mark-II Reactor using artificial neural networks and genetic algorithms. Doctoral dissertation, Gebze Institute of Technology, Turkey; 2006.
11. Takagi T., and Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cyb 15 1 (1985) 116-132
12. Tanaka K. An introduction to fuzzy logic for practical applications (1997), Springer-Verlag, New York
13. Tsukamoto Y. An approach to fuzzy reasoning method. In: Gupta MM, Ragade RK, Yager RR, editors. Advances in fuzzy set theory and applications, Amsterdam, North-Holland; 1989. p. 137-49.
14. Goldberg D.E. Genetic algorithms in search, optimization, and machine learning (1989), Addison-Wesley, New York
15. Michalewicz Z. Genetic algorithms + data structures = evolution programs. 3rd ed. (1996), Springer, New York, Berlin Heidelberg
16. Cordón O., Herrera F., and Villar P. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE Trans Fuzzy Syst 9 4 (2001) 667-674
17. Coban R, Can B. Modeling of ITU Triga Mark-II Reactor using neural networks. In: Proceedings of the international conference on modeling and simulation, Konya, Turkey; August 2006. p. 1075-83.