TY - GEN
T1 - Development of PID Controller for Temperature Control of High Flow Nasal Cannula Humidification System Based on System Identification
AU - Hiltansyah, Fachryal
AU - Kiswanto, Gandjar
N1 - Funding Information:
ACKNOWLEDGMENT The authors thank the Directorate of Research and Development, Universitas Indonesia, for funding this research project under the PUTI Pascasarjana 2022 grant scheme, No. NKB-0245/UN1.R4.1/HKP07.00/2022.
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The recent outbreak of respiratory diseases such as COVID-19 has led to an increase in the use of therapeutic devices, including high flow nasal cannulas, which have been shown to improve blood oxygenation and reduce mortality rates. Temperature control is an important aspect of these devices, as it impacts the humidification system and patient comfort. Therefore, it is necessary to have a robust and accurate temperature control system in HFNC humidification systems. This paper discusses the identification and control of an HFNC humidification system's temperature using MATLAB software. The system model is created using input-output data and a PID controller is generated. The PID Tuner app in MATLAB can be used to automatically tune the PID parameters, and the step response plot can be used to fine-tune the parameters graphically. The performance of the PID algorithm was evaluated through simulations in MATLAB and an Arduino-based real model. The results showed that the designed PID controller had good performance and precision. In conclusion, the designed PID controller, developed through the system identification process, was successfully implemented in the HFNC humidification system we developed.
AB - The recent outbreak of respiratory diseases such as COVID-19 has led to an increase in the use of therapeutic devices, including high flow nasal cannulas, which have been shown to improve blood oxygenation and reduce mortality rates. Temperature control is an important aspect of these devices, as it impacts the humidification system and patient comfort. Therefore, it is necessary to have a robust and accurate temperature control system in HFNC humidification systems. This paper discusses the identification and control of an HFNC humidification system's temperature using MATLAB software. The system model is created using input-output data and a PID controller is generated. The PID Tuner app in MATLAB can be used to automatically tune the PID parameters, and the step response plot can be used to fine-tune the parameters graphically. The performance of the PID algorithm was evaluated through simulations in MATLAB and an Arduino-based real model. The results showed that the designed PID controller had good performance and precision. In conclusion, the designed PID controller, developed through the system identification process, was successfully implemented in the HFNC humidification system we developed.
KW - covid-19
KW - high flow nasal cannula
KW - pid controller
KW - system identification
KW - temperature control
UR - http://www.scopus.com/inward/record.url?scp=85171178436&partnerID=8YFLogxK
U2 - 10.1109/CPEEE56777.2023.10217685
DO - 10.1109/CPEEE56777.2023.10217685
M3 - Conference contribution
AN - SCOPUS:85171178436
T3 - 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
SP - 170
EP - 176
BT - 2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
Y2 - 25 February 2023 through 27 February 2023
ER -