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Design Innovation Paper

Integrated Design and Testing of an Anemometer for Autonomous Sail Drones

[+] Author and Article Information
Pugi Luca

Department of Industrial Engineering, University of Florence, Via di Santa Marta 3, 50139, Firenze, Italy
luca.pugi@unifi.it

Allotta Benedetto

Department of Industrial Engineering, University of Florence, Via di Santa Marta 3, 50139, Firenze, Italy
benedetto.allotta@unifi.it

Boni Enrico

Department of Information Engineering, University of Florence, Via di Santa Marta 3, 50139, Firenze, Italy
enrico.boni@unifi.it

Guidi Francesco

Department of Information Engineering, University of Florence, Via di Santa Marta 3, 50139, Firenze, Italy
francesco.guidi@unifi.it

Montagni Marco

Department of Information Engineering University of Florence, Via di Santa Marta 3, 50139, Firenze, Italy
jonte987@gmail.com

Massai Tommaso

Dept. of Civil Engineering, University of Florence, Florence, Via di Santa Marta 3, 50139, Firenze, Italy
tommaso.massai@unifi.it

1Corresponding author.

ASME doi:10.1115/1.4037840 History: Received April 18, 2017; Revised August 29, 2017

Abstract

In order to control an autonomous sail-boat it's fundamental a correct estimation of both direction and intensity of wind velocity. This kind of measurements has to be performed in a quite harsh environment considering the direct exposition of the sensor to salt, fog and to any variable weather conditions. An important feature is represented by the sensor size, which has to be small compared to the drone size. Also costs have to be optimized respect to the overall small budget involved in the construction of the drone. Finally, extensive use on drones or in large sensors networks should be greatly advantaged by an easy substitutability in case of accidental damage or system loss, an eventuality which is difficult to be completely avoided for large scale, prolonged monitoring activities. In this work authors propose a low cost ultrasonic planar anemometer with a very interesting price to performance ratio which is obtained by introducing a simple, original and innovative Arduino based architecture. Preliminary design and the results of calibration will be described, followed by testing activities performed on a low-speed large section wind tunnel, available at University of Florence supported by simple but effective CFD simulations.

Copyright (c) 2017 by ASME
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