Optimal dynamic soaring consists of successive shallow arcs
Author(s) • •
Bousquet, Gabriel D
Triantafyllou, Michael S
Slotine, Jean-Jacques E
Date Issued
October 2017
Journal
Journal of the Royal Society Interface
Publisher
Royal Society
Citation
Bousquet, Gabriel D., Michael S. Triantafyllou and Jean-Jacques E. Slotine. "Optimal dynamic soaring consists of successive shallow arcs." Journal of the Royal Society Interface 14, no.135 (October 2017).
Version
Author's final manuscript
Abstract
Albatrosses can travel a thousand kilometres daily over the oceans. They extract their propulsive energy from horizontal wind shears with a flight strategy called dynamic soaring. While thermal soaring, exploited by birds of prey and sports gliders, consists of simply remaining in updrafts, extracting energy from horizontal winds necessitates redistributing momentum across the wind shear layer, by means of an intricate and dynamic flight manoeuvre. Dynamic soaring has been described as a sequence of half-turns connecting upwind climbs and downwind dives through the surface shear layer. Here, we investigate the optimal (minimum-wind) flight trajectory, with a combined numerical and analytic methodology. We show that contrary to current thinking, but consistent with GPS recordings of albatrosses, when the shear layer is thin the optimal trajectory is composed of small-angle, large-radius arcs. Essentially, the albatross is a flying sailboat, sequentially acting as sail and keel, and is most efficient when remaining crosswind at all times. Our analysis constitutes a general framework for dynamic soaring and more broadly energy extraction in complex winds. It is geared to improve the characterization of pelagic birds flight dynamics and habitat, and could enable the development of a robotic albatross that could travel with a virtually infinite range.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.1098/rsif.2017.0496