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Article

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Title

Event-Triggered Communication in Cooperative, Adaptive Model Predictive Control of a Nuclear Power Plant’s Turbo–Generator Set

Authors

[ 1 ] Instytut Elektroenergetyki, Wydział Inżynierii Środowiska i Energetyki, Politechnika Poznańska | [ 2 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies
[2.10] Environmental engineering, mining and energy

Year of publication

2023

Published in

Energies

Journal year: 2023 | Journal volume: vol. 16 | Journal number: iss. 13

Article type

scientific article

Publication language

english

Keywords
EN
  • nuclear power plant
  • cooperation
  • model predictive control
  • turbine–generator set
  • event-triggered
Abstract

EN This paper discusses the issue of optimizing the communication between the components of a cooperating control system formed by a pair of MPC controllers of a nuclear power plant turbine set using online recursive least squares identification. It is proposed to use event-triggered communication, i.e., sending information only at selected time instants, as opposed to the standard approach where communication is triggered by time (time-triggered approach). The aim of this paper is to propose a change in the method of information exchange in the case of asynchronous communication between control system components and to prove its suitability for the selected application. Resignation from continuous communication in favor of sending information only at selected moments allows the load on the communication network to be reduced by approximately 90% while maintaining the quality of control.

Pages (from - to)

4962-1 - 4962-23

DOI

10.3390/en16134962

URL

https://www.mdpi.com/1996-1073/16/13/4962

Comments

article number: 4962

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

Download file

Access level to full text

public

Ministry points / journal

140

Impact Factor

3

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