A learning control of unused energy power generation

Satomi Shikasho, Kun Young Han, Ji Sun Shin, Chui ChengYou, HeeHyol Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In recent years, the development of new clean energy without dependence on fossil fuel has become urgent. This article proposes a learning control system for power generation using a low-temperature gap which has been designed to maintain the speed of a steam turbine in a real environment. This system includes nonlinearity and the characteristics of changing parameters with age and deterioration, as in the real environment. The evaporator, condenser, and turbine systems have been modeled, and a PID control with the ability to learn, based on a BackPropagation neural network, has been designed.

Original languageEnglish
Pages (from-to)450-454
Number of pages5
JournalArtificial Life and Robotics
Volume15
Issue number4
DOIs
Publication statusPublished - 2010

Fingerprint

Three term control systems
Evaporators
Steam turbines
Backpropagation
Fossil fuels
Power generation
Deterioration
Turbines
Learning
Fossil Fuels
Neural networks
Control systems
Aptitude
Steam
Temperature
Power (Psychology)

Keywords

  • BP neural network
  • Evaporator
  • Learning control
  • Low thermal gap
  • Power generator
  • Turbine

ASJC Scopus subject areas

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

Cite this

A learning control of unused energy power generation. / Shikasho, Satomi; Han, Kun Young; Shin, Ji Sun; ChengYou, Chui; Lee, HeeHyol.

In: Artificial Life and Robotics, Vol. 15, No. 4, 2010, p. 450-454.

Research output: Contribution to journalArticle

Shikasho, Satomi ; Han, Kun Young ; Shin, Ji Sun ; ChengYou, Chui ; Lee, HeeHyol. / A learning control of unused energy power generation. In: Artificial Life and Robotics. 2010 ; Vol. 15, No. 4. pp. 450-454.
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