Multiply-connected Neuro PID Control

Kun Young Han, HeeHyol Lee

研究成果: Conference contribution

抄録

An ultra-compact binary power plant converts thermal energy into electric power using low temperature difference thermal energy between heat source and cooling source. In control of the binary power plant, changes of characteristic due to environmental condition, corrosion of related equipment and coupling between control loops are the main difficulties in designing a controller and fine-tuning its parameters. In order to realize the stable power generation it is necessary to consider a control system to keep control performance when the changes of characteristic for binary power plant, and to compensate coupling in multi-inputs and multi-outputs (MIMO) systems. A Multiply-Connected (MC) Neuro PID control system using a neural network architecture connected directly by neurons of each control loop is proposed to overcome above difficulties, and its strategy for design of the control system is introduced. The proposed MC Neuro PID control system is compared to traditional PID control systems to show the effectiveness of the MC Neuro PID control through simulations in this paper.

本文言語English
ホスト出版物のタイトル2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
出版社IEEE Computer Society
ページ148-152
ページ数5
ISBN(電子版)9781538667866
DOI
出版ステータスPublished - 2019 1 9
イベント2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, Thailand
継続期間: 2018 12 162018 12 19

出版物シリーズ

名前IEEE International Conference on Industrial Engineering and Engineering Management
2019-December
ISSN(印刷版)2157-3611
ISSN(電子版)2157-362X

Conference

Conference2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
国/地域Thailand
CityBangkok
Period18/12/1618/12/19

ASJC Scopus subject areas

  • ビジネス、管理および会計(その他)
  • 産業および生産工学
  • 安全性、リスク、信頼性、品質管理

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