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Volume 13
Issue 20
10.3390/app132011251
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Article

The Online Identification of the Behaviour of Pollutants inside the Tunnel Tube

by
Jozef Hrbček
*,
Juraj Ždánsky
,
Dušan Nemec
and
Marián Hruboš
Department of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 010 26 Zilina, Slovakia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(20), 11251; https://doi.org/10.3390/app132011251
Submission received: 25 September 2023 / Revised: 9 October 2023 / Accepted: 11 October 2023 / Published: 13 October 2023
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Abstract

A tunnel tube is a relatively small space that allows for the accumulation of gaseous and liquid substances containing harmful substances. Given this fact, a ventilation system is the most critical component of a tunnel’s technological equipment, greatly influencing its reliability and safe operation. The dynamic behaviour of pollutants in the tunnel tube is characterized by a significant stochastic component and changing parameters over time due to pressure, airflow, and atmospheric condition changes. This work addresses the issue of modelling individual parts of the tunnel tube for optimal tunnel ventilation control. It is necessary to create a model of a controlled system that is used for predicting process variables to calculate optimal control action. By using recursive identification methods in conjunction with a predictive controller, the proposed concept can be applied to numerous similar applications.
Keywords: system identification; dynamic behaviour of pollutants; recursive identification methods system identification; dynamic behaviour of pollutants; recursive identification methods

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MDPI and ACS Style

Hrbček, J.; Ždánsky, J.; Nemec, D.; Hruboš, M. The Online Identification of the Behaviour of Pollutants inside the Tunnel Tube. Appl. Sci. 2023, 13, 11251. https://doi.org/10.3390/app132011251

AMA Style

Hrbček J, Ždánsky J, Nemec D, Hruboš M. The Online Identification of the Behaviour of Pollutants inside the Tunnel Tube. Applied Sciences. 2023; 13(20):11251. https://doi.org/10.3390/app132011251

Chicago/Turabian Style

Hrbček, Jozef, Juraj Ždánsky, Dušan Nemec, and Marián Hruboš. 2023. "The Online Identification of the Behaviour of Pollutants inside the Tunnel Tube" Applied Sciences 13, no. 20: 11251. https://doi.org/10.3390/app132011251

APA Style

Hrbček, J., Ždánsky, J., Nemec, D., & Hruboš, M. (2023). The Online Identification of the Behaviour of Pollutants inside the Tunnel Tube. Applied Sciences, 13(20), 11251. https://doi.org/10.3390/app132011251

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