A neuro PID control of power generation using low temperature gap

Kun Young Han, Hee Jae Park, Hee Hyol Lee

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

Abstract

Recently, renewable energy is increasingly attractive in solving global problem such as the environmental pollution and energy shortage. Among varieties of renewable energy resource, power generation using low temperature gap has received much attention of researchers. However, this system is difficult to control because each of the components of this system, such as heat exchanger, working fluid and turbine, has a dynamic characteristic or nonlinear factor. In order to overcome this problem, PID controller based on neural network for power generation using low temperature gap is designed to keep the stable speed of the steam turbine in real environment.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages495-498
Number of pages4
Publication statusPublished - 2011 Dec 1
Event16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan
Duration: 2011 Jan 272011 Jan 29

Publication series

NameProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

Conference

Conference16th International Symposium on Artificial Life and Robotics, AROB '11
CountryJapan
CityBeppu, Oita
Period11/1/2711/1/29

Keywords

  • Evaporator
  • Neural network
  • PID control
  • Power generation
  • Turbine

ASJC Scopus subject areas

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

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  • Cite this

    Han, K. Y., Park, H. J., & Lee, H. H. (2011). A neuro PID control of power generation using low temperature gap. In Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 (pp. 495-498). (Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11).