유전자 알고리즘과 Levenberg-Marquardt 알고리즘을 이용한 원전 증기발생기 수위 거동 모텔링

Modeling of Nuclear Power Plant S/G Downcomer Level using GA and Levenberg-Marquardt Algorithm

  • 박창환 (서울대학교 원자핵공학과) ;
  • 이상경 (서울대학교 원자핵공학과) ;
  • 이은철 (서울대학교 원자핵공학과)
  • Park, Chang-Hwan (Department of Nuclear Engineering, Seoul National University) ;
  • Lee, Sang-Kyung (Department of Nuclear Engineering, Seoul National University) ;
  • Lee, Un-Chul (Department of Nuclear Engineering, Seoul National University)
  • 발행 : 2001.11.24

초록

In this paper, we induce the linear transfer function of Downcomer water level of NPP(Nuclear Power Plant) Steam Generator using Genetic Algorithm and Levenberg-Marquardt Algorithm. The characteristic of NPP S/G mechanism is so high-non-linear that it is hard to achieve mathematical expression. So we use non-mathematical Algorithms to get the model function of NPP S/G water level. S/G level controller would be designed with this transfer function as the plant.

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