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

Paweł Sokólski (), Tomasz A. Rutkowski, Bartosz Ceran, Daria Złotecka and Dariusz Horla
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Paweł Sokólski: Faculty of Automatic Control, Robotics and Electrical Engineering, Poznań University of Technology, 60-965 Poznań, Poland
Tomasz A. Rutkowski: Faculty of Electrical and Control Engineering, Gdańsk University of Technology, 80-233 Gdańsk, Poland
Bartosz Ceran: Faculty of Environmental Engineering and Energy, Poznań University of Technology, 60-965 Poznań, Poland
Daria Złotecka: Faculty of Environmental Engineering and Energy, Poznań University of Technology, 60-965 Poznań, Poland
Dariusz Horla: Faculty of Automatic Control, Robotics and Electrical Engineering, Poznań University of Technology, 60-965 Poznań, Poland

Energies, 2023, vol. 16, issue 13, 1-23

Abstract: 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.

Keywords: nuclear power plant; cooperation; model predictive control; turbine–generator set; event-triggered (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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