A learning control of unused energy power generation

Satomi Shikasho, Ji Sun Shin, C. Y. Cui, Hee Hyol Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In recent years, the new clean energy without dependence on the fossil fuel is required. The control system of the power generation using low temperature gap is designed to keep the speed of the steam turbine in real environment. This system includes nonlinearity and the characteristics of the system change in real environment with the aged deterioration. The evaporator, the condenser, and the turbine systems are modeled, and the PID control with the ability of learning based on BP neural network is designed.

Original languageEnglish
Title of host publicationProceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
Pages1029-1032
Number of pages4
Publication statusPublished - 2010 Dec 1
Event15th International Symposium on Artificial Life and Robotics, AROB '10 - Beppu, Oita, Japan
Duration: 2010 Feb 42010 Feb 6

Publication series

NameProceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10

Other

Other15th International Symposium on Artificial Life and Robotics, AROB '10
CountryJapan
CityBeppu, Oita
Period10/2/410/2/6

Keywords

  • BP Neural Network
  • Evaporator
  • Learning control
  • Low thermal gap
  • Power generator
  • Turbine

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Shikasho, S., Shin, J. S., Cui, C. Y., & Lee, H. H. (2010). A learning control of unused energy power generation. In Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 (pp. 1029-1032). (Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10).