Automatic control of the extra-corporal bypass: system analysis, modelling and evaluation of different control modes.
Automatic control of the blood gas parameters during extracorporeal circulation has the potential to improve the quality of this procedure and to relieve the personnel from a time consuming task. This paper describes a model of the underlying system for a standard clinical set-up and pinpoints the major difficulties which are the variations of the process gains and the blood- and gas-flow dependent dead times and time constants. Scheduled PI-controllers both for the arterial oxygen as well as for the carbon dioxide partial pressure were designed. Scheduling was based on the blood flow rate. These controllers were tested in a simulation environment. The control systems remained stable under all tested operating condition, but if the blood flow rate was changed abruptly rather large load errors occurred. The performance was improved markedly by adding a feed-forward control path which directly influences the actuating signals based on the actual blood flow rate and the hemoglobin contents, variables which are measured anyway. The major conclusion of this study is to use such direct feed-forward compensation even if more sophisticated control algorithms are used.
Hexamer
M
M
Department of Biomedical Engineering, Medical Faculty, University Center of Medical Engineering, Ruhr-University Bochum, Germany. hexamer@biomed.rub.de
Misgeld
B
B
Prenger-Berninghoff
A
A
Schütt
U
U
Knobl
H J
HJ
Körfer
R
R
Werner
J
J
D000465:Algorithms; D001783:Blood Flow Velocity / Q000502:physiology; D001784:Blood Gas Analysis / Q000295:instrumentation; D002245:Carbon Dioxide / Q000097:blood*; D002315:Cardiopulmonary Bypass / Q000295:instrumentation*; D003198:Computer Simulation; D003199:Computer Systems; D005246:Feedback / Q000502:physiology; D006801:Humans; D010100:Oxygen / Q000097:blood*; D010107:Oxygenators, Membrane; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*
D002245:Carbon Dioxide; D010100:Oxygen