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  4. Modelling of a Positive End-Expiratory Pressure Valve with a Voice-coil Actuator
 
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2022
Journal Article
Title

Modelling of a Positive End-Expiratory Pressure Valve with a Voice-coil Actuator

Abstract
The positive end-expiratory pressure (PEEP) valve is important in the regulation of the pressure at the patient airways in devices for mechanical ventilation. The goal of this work is to derive a model that sufficiently captures the dynamics of the PEEP valve to be used for model-based control design. This paper describes the development of a model for common PEEP valve designs, thus allowing an adoption for different devices. A simplified first principle model with one mechanical degree of freedom is derived, under the assumption that the valve's membrane behaves similar to a massspring-damper system. Following a grey-box model approach, physical parameters were lumped together and experimentally determined or identified from acquired data. Therefore, a valve test bench was developed to record various series of measurements. It was possible to determine a suitable flow factor which describes the correlation between flow, valve opening and upstream pressure. Additionally, a damping coefficient was estimated, with which the model achieves a good fit to the measured data at low dynamics and flows.
Author(s)
Brütt, Robin Vinzenz
Fraunhofer-Einrichtung für Individualisierte und Zellbasierte Medizintechnik IMTE  
Männel, Georg
Fraunhofer-Einrichtung für Individualisierte und Zellbasierte Medizintechnik IMTE  
Brendle, Christian
Rostalski, Philipp  
Fraunhofer-Einrichtung für Individualisierte und Zellbasierte Medizintechnik IMTE  
Journal
Current directions in biomedical engineering  
Conference
Joint Annual Conference of the Austrian, German and Swiss Societies for Biomedical Engineering 2022  
Open Access
DOI
10.1515/cdbme-2022-1132
Language
English
Fraunhofer-Einrichtung für Individualisierte und Zellbasierte Medizintechnik IMTE  
Keyword(s)
  • Positive End-Expiratory Pressure Valve

  • Simplified Dynamic Model

  • Parameter Estimation

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