Multiply-connected neuro PID control of ultra-compact binary power plant

Kun Young Han*, HeeHyol Lee

*この研究の対応する著者

研究成果査読

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, the negative effects such as characteristic changes caused by environmental condition and 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 characteristic change of the binary power plant, and to compensate coupling in Multi-Input and Multi-Output (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 control systems to show the effectiveness of the MC Neuro PID control through simulations in this paper.

本文言語English
ページ(範囲)504-513
ページ数10
ジャーナルIEEJ Transactions on Electronics, Information and Systems
139
4
DOI
出版ステータスPublished - 2019 1 1

ASJC Scopus subject areas

  • 電子工学および電気工学

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