Modeling dynamic blowers in Simscape® for mechanical ventilation

This contribution focuses on modeling dynamic blowers by forming a Hammerstein model in which the linear dynamics of the rotational speed and the non-linear static relationship of differential pressure and volume flow is regarded separately. Two isolated identification processes were conducted to parameterize the model which was created upon pre-existing Simscape® elements. For validation purposes the model was placed in a pneumatic circuit equally to a hardware test bench and results are presented for two operating points. In the future this model approach could serve as the basis for model-based control tuning of blowers for mechanical ventilation.

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Publication Details

Journal
Infinite Science GmbH
Published
2025-12-17
DOI
https://doi.org/10.18416/automed.2026.2526
Primary Topic
Modeling and Simulation Systems
Type
article
Field-Weighted Citation Impact
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article

Modeling dynamic blowers in Simscape® for mechanical ventilation

Felix Röhren, Marian Walter, Alina Junior, Steffen Leonhardt
Infinite Science GmbH
Modeling and Simulation Systems
article

Modeling dynamic blowers in Simscape® for mechanical ventilation

Felix Röhren, Marian Walter, Alina Junior, Steffen Leonhardt
article en

Abstract

This contribution focuses on modeling dynamic blowers by forming a Hammerstein model in which the linear dynamics of the rotational speed and the non-linear static relationship of differential pressure and volume flow is regarded separately. Two isolated identification processes were conducted to parameterize the model which was created upon pre-existing Simscape® elements. For validation purposes the model was placed in a pneumatic circuit equally to a hardware test bench and results are presented for two operating points. In the future this model approach could serve as the basis for model-based control tuning of blowers for mechanical ventilation.

Infinite Science GmbH
RWTH Aachen University (DE)
Affordable and clean energy
Openalex Percentile: Top 21%
Modeling and Simulation Systems
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