Neuro PID control of power generation using a low temperature gap

Kun Young Han, Hee Hyol Lee

研究成果: Article査読

4 被引用数 (Scopus)

抄録

Power generation using a low temperature gap converts heat energy into electricity by using the temperature difference. In this article, a simulation model for power generation using a low temperature gap, which uses a circulation cycle with ammonia as the working fluid, is constructed as a linear multiple input/multiple output (MIMO) model which has 2 inputs and 2 outputs based on the step response method. A PID controller using a back propagation neural network is designed so that the difference in pressure between the turbine inlet and outlet is kept at 0.3 Mpa.

本文言語English
ページ(範囲)178-184
ページ数7
ジャーナルArtificial Life and Robotics
16
2
DOI
出版ステータスPublished - 2011 9 1

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence

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