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Leveraging three-dimensionality for navigation in bluff-body wakes
by
Godavarthi, Vedasri
, Taira, Kunihiko
, Brunton, Steven L.
, Krishna, Kartik
in
Actuation
/ Autonomous navigation
/ Autonomous vehicles
/ bluff body wakes
/ Energy
/ Energy efficiency
/ Finite volume method
/ Flow velocity
/ model predictive control
/ Predictive control
/ Reynolds number
/ Swimming
/ three-dimensionality
/ Trajectory planning
/ Unsteady flow
/ Vortices
/ Wakes
2025
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Leveraging three-dimensionality for navigation in bluff-body wakes
by
Godavarthi, Vedasri
, Taira, Kunihiko
, Brunton, Steven L.
, Krishna, Kartik
in
Actuation
/ Autonomous navigation
/ Autonomous vehicles
/ bluff body wakes
/ Energy
/ Energy efficiency
/ Finite volume method
/ Flow velocity
/ model predictive control
/ Predictive control
/ Reynolds number
/ Swimming
/ three-dimensionality
/ Trajectory planning
/ Unsteady flow
/ Vortices
/ Wakes
2025
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Do you wish to request the book?
Leveraging three-dimensionality for navigation in bluff-body wakes
by
Godavarthi, Vedasri
, Taira, Kunihiko
, Brunton, Steven L.
, Krishna, Kartik
in
Actuation
/ Autonomous navigation
/ Autonomous vehicles
/ bluff body wakes
/ Energy
/ Energy efficiency
/ Finite volume method
/ Flow velocity
/ model predictive control
/ Predictive control
/ Reynolds number
/ Swimming
/ three-dimensionality
/ Trajectory planning
/ Unsteady flow
/ Vortices
/ Wakes
2025
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Leveraging three-dimensionality for navigation in bluff-body wakes
Journal Article
Leveraging three-dimensionality for navigation in bluff-body wakes
2025
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Overview
Biological flyers and swimmers navigate in unsteady wake flows using limited sensory abilities and actuation energies. Understanding how vortical structures can be leveraged for energy-efficient navigation in unsteady flows is beneficial in developing autonomous navigation for small-scale aerial and marine vehicles. Such vehicles are typically operated with constrained onboard actuation and sensing capabilities, making energy-efficient trajectory planning critically important. This study finds that trajectory planners can leverage three-dimensionality appearing in a complex unsteady wake for efficient navigation using limited flowfield information. This is revealed with comprehensive investigations by finite-horizon model-predictive control for trajectory planning of a swimmer behind a cylinder wake at Reynolds number of 300. The navigation performance of three-dimensional cases is compared with scenarios in a two-dimensional (2-D) wake. The underactuated swimmer is able to reach the target by leveraging the background flow when the prediction horizon exceeds one-tenth of the wake-shedding period, demonstrating that navigation is feasible with limited information about the flowfield. Further, we identify that the swimmer can leverage the secondary transverse vortical structures to reach the target faster than is achievable navigating in a 2-D wake.
Publisher
Cambridge University Press
Subject
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