A fault-tolerant control strategy to estimate and compensate the temperature sensor bias in supermarket refrigeration systems

Bidragets oversatte titel: En fejltolerant strategi for estimering og kompensation af afvigelse i udendør’s temperatur sensor målinger i et supermarked kølesystem

Patrick Haffmans, Roozbeh Izadi-Zamanabadi, Hossein Ramezani*

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstract

The paper proposes a data-driven fault-tolerant control (FTC) strategy to construct and accommodate the bias on ambient temperature measurements in supermarket refrigeration systems. The bias, which is caused by direct or indirect exposure of the sensor to the sun, can have a significant impact on the refrigeration system’s energy consumption. Based on analysis of the real data a comprehensive model of the bias is developed and then used to generate realistic scenarios for testing the proposed FTC method. The FTC method uses a feed forward Neural Network (NN) as a black box model. The model is trained by active injection of perturbation signals during the night operations. During the Monte-Carlo tests, the strategy was implemented in a Plug & Play manner, demonstrating that substantial energy savings can be achieved during summer periods.
Bidragets oversatte titelEn fejltolerant strategi for estimering og kompensation af afvigelse i udendør’s temperatur sensor målinger i et supermarked kølesystem
OriginalsprogEngelsk
TidsskriftISA Transactions
Vol/bind144
Sider (fra-til)490-500
Antal sider11
ISSN0019-0578
DOI
StatusUdgivet - jan. 2024

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