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This work presents a Neural Network-based performance analysis and optimization of sailing configurations of an America s Cup yacht. The analysis is based on experimental data only, gathered from the sailing records provided by the onboard telemetry to train the neural networks. The focus of the work is on the performance analysis, with the objective of maximizing boat speed (objective function) by varying the sailing setups (design variables). The neural network based on the experimental data is coupled with a genetic algorithm to determine the maximum boat speed and corresponding yacht…mehr

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Produktbeschreibung
This work presents a Neural Network-based performance
analysis and optimization of sailing configurations
of an America s Cup yacht. The analysis is based on
experimental data only, gathered from the sailing
records provided by the onboard telemetry to train
the neural networks. The focus of the work is on the
performance analysis, with the objective of
maximizing boat speed (objective function) by varying
the sailing setups (design variables). The neural
network based on the experimental data is coupled
with a genetic algorithm to determine the maximum
boat speed and corresponding yacht settings at
various wind speeds.
More importantly, however, the paper demonstrates
that multiple yacht sailing configurations can be
analyzed instantaneously on a regular PC, thus
providing a valuable analysis and prediction tool for
the design and sailing teams.
Autorenporträt
Graduated with a Bachelor Degree in Naval Architecture in
England, Frederick Courouble pursued his research with a Master
of Science in Aerospace Engineering in Long Beach. Its latest
research was in collaboration with the South African syndicate
for the 32nd America s Cup.
Today he is a design partner with the California yacht designer
Tim Kernan.