Adaptive Control of Extracorporeal Membrane Oxygenation Based on Extremum Seeking Control

In recent years, multiple global pandemics have raised concerns about respiratory diseases. As an advanced life support tool for respiratory failure, extracorporeal membrane oxygenation (ECMO) has become increasingly important. In order to improve the oxygenation effect and adaptive control ability of the system, researchers have made efforts in membrane materials, blood pumps, and control methods. This article proposes a method of using extremum seeking to control treatment effectiveness by adjusting pressure adaptively. Firstly, fit the oxygen dissociation curve and carbon dioxide dissociation curve, and establish a flow-pressure model of the system based on the Ideal Gas Law and gas pump performance curve. Then construct the objective function and conduct system simulation with the perturbation-based extremum seeking control. The results show that the algorithm enable the system to automatically search and reach the extreme point of the objective function, improving the comprehensive effect of ECMO therapy.