Title :
Robust Feedback Design for Proportional Assist Ventilation-System Dynamics and Problem Definition
Author :
Jafari, Mehdi M. ; Lopez, Francisco J.
Author_Institution :
Senior Member, IEEE, Control Systems Engineering Group, Tyco Healthcare Puritan Bennett R&D, 5931 Priestly Dr., Suite 100, Carlsbad, CA 92008 USA (e-mail: Mehdi.Jafari@tycohealthcare.com).
Abstract :
Robust control analysis and design of feedback controllers for life support medical ventilators are discussed in the context of Proportional Assist Ventilation. Controllers for critical care ventilators are required to have robust performance in the presence of time-varying global dynamic uncertainty. Proportional Assist Ventilation (PAV) is intended to detect, estimate, and track patient´s spontaneous breathing effort and provide timely ventilatory support with specified air and O2gas mix. The main design consideration for a PAV controller is the non-deterministic, time-variant, and patient-dependent nature of the reference tracking trajectory. The controller´s reference is determined quasi-real time based on estimated lung model parameters, predicted spontaneous breathing effort, and percent support set by clinician. In this paper, we discuss system dynamics, define the control design problem, and briefly comment on well posedness, internal stability, and controller synthesis.
Keywords :
Adaptive control; Feedback; Lungs; Parameter estimation; Predictive models; Robust control; Robustness; Trajectory; Uncertainty; Ventilation;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582927