DocumentCode :
2037046
Title :
Modeling and automatic control of nuclear reactors
Author :
Mahmoud, Lmbaby I.
Author_Institution :
Eng. Dept., Atomic Energy Authority, Cairo, Egypt
fYear :
2002
fDate :
2002
Firstpage :
599
Lastpage :
609
Abstract :
This paper presents a developed real time simulator for MPR (multi purpose reactor), on which the Egyptian 2nd research reactor is based. A VisSim S/W environment with real-time add-on is employed to achieve this put-pose. VisSim S/W supports a variety of standard and industrial grade I/O cards and uses the block diagram programming technique, which keeps use of specialized code to minimum. All necessary reactivity feedback is taken into consideration and modeled by sufficiently accurate equations. A control rod withdrawal algorithm, which represents the actual one of the MPR, is stated and modeled. Application of traditional control algorithms are implemented and discussed. Advanced control algorithms such as fuzzy, neural network, and genetic are investigated to substitute the moving control rod selection logic and core parameter prediction. The simulator can be distributed with VisSim viewer or through generated C code from VisSim block diagram. The results of the proposed simulator in the power state agree well with the published experimental and analytical results.
Keywords :
control system analysis computing; feedback; fission reactor cooling; fission reactor theory; fuzzy control; neurocontrollers; nuclear engineering computing; nuclear power stations; power station control; real-time systems; visual programming; 1/0 cards; Egypt; VisSim S/W environment; VisSim block diagram; block diagram programming technique; computer simulation; control algorithms; control rod withdrawal algorithm; control simulation; multi purpose reactor real-time simulator; nuclear power plants; nuclear reactor automatic control; nuclear reactor modelling; reactivity feedback; Automatic control; Code standards; Equations; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Genetics; Inductors; Neural networks; Neurofeedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National
Print_ISBN :
977-5031-72-9
Type :
conf
DOI :
10.1109/NRSC.2002.1022671
Filename :
1022671
Link To Document :
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