TY - GEN
T1 - Mechanical ventilation intelligent control technology based on fuzzy adaptive pid
AU - Shi, Yan
AU - Zhang, Hao
AU - Luo, Zihao
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - The ventilator is an important means of assisting and even replacing spontaneous breathing and has an unshakable position in the medical field. This paper mainly studies the method of fuzzy adaptive PID control and traditional PID control of mechanical ventilation pressure based on the dual lung model. In this study, a mathematical model of the lungs during breathing is established and simulated. Furthermore, the experimental platform was built based on a mechanical ventilation system, and the classic PID control and fuzzy adaptive PID control were realized by programming the single chip. Finally, debugging and experimentation were carried out on the experimental platform, and the experimental results were analyzed. The study of the two-lung model and the two control algorithms not only provides a simple and easy test method, but also has guiding significance for the development of mechanical ventilation control mode.
AB - The ventilator is an important means of assisting and even replacing spontaneous breathing and has an unshakable position in the medical field. This paper mainly studies the method of fuzzy adaptive PID control and traditional PID control of mechanical ventilation pressure based on the dual lung model. In this study, a mathematical model of the lungs during breathing is established and simulated. Furthermore, the experimental platform was built based on a mechanical ventilation system, and the classic PID control and fuzzy adaptive PID control were realized by programming the single chip. Finally, debugging and experimentation were carried out on the experimental platform, and the experimental results were analyzed. The study of the two-lung model and the two control algorithms not only provides a simple and easy test method, but also has guiding significance for the development of mechanical ventilation control mode.
KW - Adaptive fuzzy pID
KW - Control algorithm
KW - Dual lung model
KW - Mechanical ventilation
UR - https://www.scopus.com/pages/publications/85083027915
U2 - 10.1109/FPM45753.2019.9035796
DO - 10.1109/FPM45753.2019.9035796
M3 - 会议稿件
AN - SCOPUS:85083027915
T3 - Proceedings of the 8th International Conference on Fluid Power and Mechatronics, FPM 2019
SP - 156
EP - 163
BT - Proceedings of the 8th International Conference on Fluid Power and Mechatronics, FPM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Fluid Power and Mechatronics, FPM 2019
Y2 - 10 April 2019 through 13 April 2019
ER -