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Erschienen in: Theoretical and Computational Fluid Dynamics 4/2020

09.08.2020 | Original Article

Flowtaxis in the wakes of oscillating airfoils

verfasst von: Brendan Colvert, Geng Liu, Haibo Dong, Eva Kanso

Erschienen in: Theoretical and Computational Fluid Dynamics | Ausgabe 4/2020

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Abstract

Many aquatic organisms from copepods to harbor seals are able to detect and respond to flow disturbances. The physiological mechanisms underlying such behavior remain a challenge for current and future research. Here, we propose a simplified flow sensing scenario in which a mobile sensor reorients its heading in response to local flow stimuli, with the goal of tracing the wakes created by oscillating airfoils to their source. Specifically, we engineer a feedback control strategy where the sensory measurements are based on transverse vorticity gradients. Through numerical experiments, we assess the efficacy of the sensor in following topologically distinct wakes. We demonstrate that the strategy is robust to variations in the wake itself, and we arrive at empirical rules that the sensor’s initial position and orientation must satisfy in order to successfully locate the airfoil. We conclude by commenting on the relevance of the model and results to animal behavior and bio-inspired underwater robotics. We also discuss current and future opportunities for employing machine learning tools to devise and improve these sensory control strategies.

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Metadaten
Titel
Flowtaxis in the wakes of oscillating airfoils
verfasst von
Brendan Colvert
Geng Liu
Haibo Dong
Eva Kanso
Publikationsdatum
09.08.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Theoretical and Computational Fluid Dynamics / Ausgabe 4/2020
Print ISSN: 0935-4964
Elektronische ISSN: 1432-2250
DOI
https://doi.org/10.1007/s00162-020-00546-8

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