Multiply-connected Neuro PID Control

Kun Young Han, HeeHyol Lee

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

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
PublisherIEEE Computer Society
Pages148-152
Number of pages5
ISBN (Electronic)9781538667866
DOIs
Publication statusPublished - 2019 Jan 9
Event2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, Thailand
Duration: 2018 Dec 162018 Dec 19

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2019-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

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

Fingerprint

Three term control systems
Control systems
Power plants
Thermal energy
Network architecture
Neurons
Power generation
Tuning
Corrosion
Cooling
Neural networks
Controllers
Power plant
Temperature
Energy

Keywords

  • binary power plant
  • Low-temperature difference thermal energy
  • Multiply-Connected Neuro PID

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Han, K. Y., & Lee, H. (2019). Multiply-connected Neuro PID Control. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 (pp. 148-152). [8607613] (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2019-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2018.8607613

Multiply-connected Neuro PID Control. / Han, Kun Young; Lee, HeeHyol.

2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society, 2019. p. 148-152 8607613 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2019-December).

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

Han, KY & Lee, H 2019, Multiply-connected Neuro PID Control. in 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018., 8607613, IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2019-December, IEEE Computer Society, pp. 148-152, 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018, Bangkok, Thailand, 18/12/16. https://doi.org/10.1109/IEEM.2018.8607613
Han KY, Lee H. Multiply-connected Neuro PID Control. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society. 2019. p. 148-152. 8607613. (IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2018.8607613
Han, Kun Young ; Lee, HeeHyol. / Multiply-connected Neuro PID Control. 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society, 2019. pp. 148-152 (IEEE International Conference on Industrial Engineering and Engineering Management).
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