Dynamic Soaring in Finite-Thickness Wind Shears: an Asymptotic Solution
Name
aiaa_gns2017_sub2.pdf
Size
834.32 KB
Format
Adobe PDF
Checksum (MD5)
aaf149aeae8cd15af7c848a256957d20
Author(s) • •
Bousquet, Gabriel David Elie Sylvain
Triantafyllou, Michael S
Slotine, Jean-Jacques E
Date Issued
January 2017
Journal
AIAA Guidance, Navigation, and Control Conference 2017
Publisher
American Institute of Aeronautics and Astronautics
Citation
Bousquet, Gabriel et al. "Dynamic Soaring in Finite-Thickness Wind Shears: an Asymptotic Solution." AIAA Guidance, Navigation, and Control Conference 2017, January 2017, Grapevine, Texas, USA, American Institute of Aeronautics and Astronautics, January 2017.
Version
Author's final manuscript
Abstract
Building upon our recent description of dynamic soaring as a succession of small amplitude arcs nearly crosswind, rather than a sequence of half-turns, we formulate an asymptotic expansion for the minimum-wind dynamic soaring cycle when the shear layer between the slow and fast regions has a thin but finite thickness. Our key assumption is that the trajectory remains approximately planar even in finite thickness shears. We obtain an analytical approximation for key flight parameters as a function of the shear layer thickness Δ. In particular we predict that the turn amplitude, maximum climb angle, and cycle altitude scale as Δ [superscript 1=5], Δ[superscript 2=5], and Δ[superscript 3=5], respectively. Our asymptotic expansion is validated against numerical trajectory optimizations and compared with recordings of albatross flights. While the model validity increases with wing loading, it appears to constitute an accurate description down to wing loadings as low as 4kg/m[superscript 2] for oceanic boundary layer soaring, a third that of the wandering albatross.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.2514/6.2017-1908