Autonomous dynamic soaring
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- @InProceedings{Boslough:2017:ieeeAero,
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author = "Mark Boslough",
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booktitle = "2017 IEEE Aerospace Conference",
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title = "Autonomous dynamic soaring",
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year = "2017",
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month = "4-11 " # mar,
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address = "Big Sky, MT, USA",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/AERO.2017.7943967",
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size = "20 pages",
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abstract = "This project makes use of biomimetic behavioural
engineering in which adaptive strategies used by
animals in the real world are applied to the
development of autonomous robots. The key elements of
the biomimetic approach are to observe and understand a
survival behaviour exhibited in nature, to create a
mathematical model and simulation capability for that
behaviour, to modify and optimise the behaviour for a
desired robotics application, and to implement it. The
application described in this report is dynamic
soaring, a behaviour that certain sea birds use to
extract flight energy from laminar wind velocity
gradients in the shallow atmospheric boundary layer
directly above the ocean surface. Theoretical
calculations, computational proof-of-principle
demonstrations, and the first instrumented experimental
flight test data for dynamic soaring are presented to
address the feasibility of developing dynamic soaring
flight control algorithms to sustain the flight of
unmanned airborne vehicles (UAVs). Both hardware and
software were developed for this application.
Eight-foot custom foam glider were built and flown in a
steep shear gradient. A logging device was designed and
constructed with custom software to record flight data
during dynamic soaring manoeuvres. A computational tool
kit was developed to simulate dynamic soaring in
special cases and with a full 6-degree of freedom
flight dynamics model in a generalised time-dependent
wind field. Several 3-dimensional visualization tools
were built to replay the flight simulations. A
realistic aerodynamics model of an eight-foot sailplane
was developed using measured aerodynamic derivatives.
Genetic programming methods were developed and linked
to the simulations and visualization tools. These tools
can now be generalised for other biomimetic behaviour
applications. This work was carried out in 2000 and
2001, and until now its results have only been
available in an internal Sandia report.",
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notes = "Wandering albatross Also known as \cite{7943967}",
- }
Genetic Programming entries for
Mark Boslough
Citations