DocumentCode :
2609843
Title :
Nuclear steam generator level control by a neural network-tuning 2-DOF PID controller
Author :
Kim, Dong H.
Author_Institution :
Dept. of Instrum. & Control Eng., Hanbat Nat. Univ., Daejon, South Korea
fYear :
2004
fDate :
14-16 July 2004
Firstpage :
168
Lastpage :
173
Abstract :
This paper focuses on the level control of a steam generator in a nuclear power plant. It is very difficult to effectively control the level of the nuclear steam generator, because of the swelling and shrinking caused by many kinds of disturbances, such as feed water rate, feed water temperature, main steam flow rate, and coolant temperature. Up to the present time, the PI controller has been used for the level control, owing to the easy control algorithms and the advantage which have been proven on the nuclear power plant. However, since there are problems with stability control during low power and start-up, only a highly experienced operator can operate during those procedures. A great deal of time and an expensive simulator is needed for the training of an operator. In addition to studying this problem, this paper has studied the tuning of a 2-DOF PID (two-degrees of freedom PID) controller by a neural network in the level control of the steam generator of a nuclear power plant, through the simulation and the experimentation of the model steam generator. Results obtained by simulation reveal the importance of the controller tuning in nuclear steam generator level control, and results obtained on the experimental steam generator suggest methods which can be used to reduce swelling and shrinking.
Keywords :
control engineering computing; flow control; level control; neurocontrollers; nuclear power stations; nuclear reactor steam generators; three-term control; tuning; 2-DOF PID controller; level control; neural network-timing; nuclear power plant; stability control; steam generator; Coolants; Feeds; Level control; Neural networks; Nuclear power generation; Pi control; Power generation; Proportional control; Temperature; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2004. CIMSA. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8341-9
Type :
conf
DOI :
10.1109/CIMSA.2004.1397256
Filename :
1397256
Link To Document :
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