Intelligent Control of Nuclear Power Plant Steam Generator Using Neural Networks

신경회로망을 이용한 원자력발전소 증기발생기의 지능제어

  • Kim, Sung-Soo (Dept.of Electronics Engineering, Seoul National University) ;
  • Lee, Jae-Gi (Dept.of Electronics Engineering, Seoul National University) ;
  • Choi, Jin-Young (Dept.of Electronics Engineering, Seoul National University)
  • Published : 2000.02.01

Abstract

This paper presents a novel neural based controller which controls the water level of the nuclear power plant steam generator. The controller consists of a model reference feedback linearization controller and a PI controller for stabilizing the feedback linearization controller. The feedback linearization controller consists of a neural network model and an inversing module which uses the neural network model for computing the control input to the steam generator. We chose Piecewise Linearly Trained Network(PLTN) and Recurrent Neural Netwrok(RNN) for an approximator of the plant and used these approximators in calculating the input from the feedback linearization controller. Combining the above two controllers gives a result of better performance than the case which uses only a PI controller Each control result of PLTN and RNN is given.

Keywords

References

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