Instrumentation system for ship air wake measurement

Author

Kumar, Ajit ; Ben-Tzvi, Pinhas ; Snyder, Murray R. ; Saab, Wajeb

Author_Institution

Dept. of Mech. & Aerosp. Eng., George Washington Univ., Washington, DC, USA

fYear

2013

fDate

21-23 Oct. 2013

Firstpage

118

Lastpage

123

Abstract

This paper presents an instrumentation system developed for off-ship measurement of ship air wakes using an instrumented radio controlled (RC) helicopter. We propose the use of an IMU as a sensor to measure air wake in the form of induced vibrations on the helicopter while it maneuvers through regions of active air wake. The proposed system makes use of Back Propagation neural networks to compensate for the vibrational noise contributed by pilot inputs. The instrumentation system was tested on a modified training vessel in the Chesapeake Bay, which provided a wide range of wind conditions.

Keywords

backpropagation; computational fluid dynamics; computerised instrumentation; flow measurement; helicopters; mechanical engineering computing; neural nets; vibrations; wakes; Chesapeake Bay; IMU; RC helicopter; backpropagation neural networks; induced vibrations; inertial measurement unit; instrumentation system; instrumented radio controlled helicopter; modified training vessel; off-ship measurement; ship air wake measurement; vibrational noise compensation; wind conditions; Gyroscopes; Helicopters; Marine vehicles; Neural networks; Rotors; Standards; Vibrations; Artificial Neural Networks; Computational Fluid Dynamics; RC Helicopter; Ship Air Wake;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotic and Sensors Environments (ROSE), 2013 IEEE International Symposium on

Conference_Location

Washington, DC

Print_ISBN

978-1-4673-2938-5

Type

conf

DOI

10.1109/ROSE.2013.6698427

Filename

6698427