Aquila-Based Model Predictive Control of an Adapted Fridge Display Case Model for Vaccine Preservation

Autor: Adesola T. Bankole, Habeeb Bello-Salau, Zaharudeen Haruna
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Engineering Proceedings, Vol 37, Iss 1, p 99 (2023)
Druh dokumentu: article
ISSN: 2023-1466
2673-4591
DOI: 10.3390/ECP2023-14665
Popis: Temperature excursions and vaccine freezing are the results of poor temperature control systems used in the vaccine cold chain. The use of medium-temperature fridges due to inadequate vaccine refrigerators has had great negative impacts on the coverage of national immunization programs in developing countries, as many vaccines are often wasted due to loss of vaccine potency, thereby leading to wastage of investment. To surmount these challenges, an adapted fridge display case model using an Aquila-based model predictive control strategy for preserving vaccines at the correct temperature range of 2 °C and 8 °C is proposed. Temperature responses using an Aquila-based model predictive controller (AO-MPC) was compared with a proportional–integral–derivative (PID) controller. Simulation results show that AO-MPC has better capability in mitigating the problem of accidental freezing and temperature excursion by keeping the vaccine temperature at 5.8 °C, even in the presence of additive disturbances, while the PID controller has oscillations for about 4.5 h before settling at 8 °C. MATLAB 2020a was used to perform all simulations.
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