A hardware-based multi-disciplinary design optimisation method for aeronautical applications
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Inclou dades d'ús des de 2022
Cita com:
hdl:2117/193038
Tipus de documentText en actes de congrés
Data publicació2011
EditorCIMNE
Condicions d'accésAccés obert
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Abstract
There are many applications in aeronautics where there exist strong couplings
between disciplines. One practical example is within the context of Unmanned Aerial Vehicle
(UAV) automation where there exists strong coupling between operation constraints,
aerodynamics, vehicle dynamics, mission and path planning. UAV path planning can be
done either online or offline. The current state of path planning optimisation online UAVs
with high performance computation is not at the same level as its ground-based offline
optimizer’s counterpart, this is mainly due to the volume, power and weight limitations
on the UAV; some small UAVs do not have the computational power needed for some
optimisation and path planning task. In this paper, we describe an optimisation method
which can be applied to Multi-disciplinary Design Optimisation problems and UAV path
planning problems. Hardware-based design optimisation techniques are used. The power
and physical limitations of UAV, which may not be a problem in PC-based solutions, can
be approached by utilizing a Field Programmable Gate Array (FPGA) as an algorithm
accelerator. The inevitable latency produced by the iterative process of an Evolutionary
Algorithm (EA) is concealed by exploiting the parallelism component within the dataflow
paradigm of the EA on an FPGA architecture. Results compare software PC-based solutions
and the hardware-based solutions for benchmark mathematical problems as well
as a simple real world engineering problem. Results also indicate the practicality of the
method which can be used for more complex single and multi-objective coupled problems
in aeronautical applications.
ISBN978-84-89925-78-6
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Coupled-2011-26 ... ased-multidisciplinary.pdf | 349,3Kb | Visualitza/Obre |