A correct estimation of both direction and intensity of wind velocity is fundamental for controlling an autonomous sail-boat. This kind of estimation has to be performed in a 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. Costs have to be optimized with respect to the overall small budget involved in the construction of the drone. Finally, extensive use on drones or in large sensor networks should be greatly advantaged by an easy substitutability in the 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 computational fluid dynamic (CFD) simulations.
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May 2018
Design Innovation Paper
Integrated Design and Testing of an Anemometer for Autonomous Sail Drones
Pugi Luca,
Pugi Luca
Department of Industrial Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: luca.pugi@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: luca.pugi@unifi.it
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Allotta Benedetto,
Allotta Benedetto
Department of Industrial Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: benedetto.allotta@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: benedetto.allotta@unifi.it
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Boni Enrico,
Boni Enrico
Department of Information Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: enrico.boni@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: enrico.boni@unifi.it
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Guidi Francesco,
Guidi Francesco
Department of Information Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: Francesco.guidi@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: Francesco.guidi@unifi.it
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Montagni Marco,
Montagni Marco
Department of Information Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: jonte987@gmail.com
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: jonte987@gmail.com
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Massai Tommaso
Massai Tommaso
Department of Civil Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: tommaso.massai@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: tommaso.massai@unifi.it
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Pugi Luca
Department of Industrial Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: luca.pugi@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: luca.pugi@unifi.it
Allotta Benedetto
Department of Industrial Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: benedetto.allotta@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: benedetto.allotta@unifi.it
Boni Enrico
Department of Information Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: enrico.boni@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: enrico.boni@unifi.it
Guidi Francesco
Department of Information Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: Francesco.guidi@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: Francesco.guidi@unifi.it
Montagni Marco
Department of Information Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: jonte987@gmail.com
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: jonte987@gmail.com
Massai Tommaso
Department of Civil Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: tommaso.massai@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: tommaso.massai@unifi.it
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received April 18, 2017; final manuscript received August 29, 2017; published online December 19, 2017. Assoc. Editor: Evangelos Papadopoulos.
J. Dyn. Sys., Meas., Control. May 2018, 140(5): 055001 (10 pages)
Published Online: December 19, 2017
Article history
Received:
April 18, 2017
Revised:
August 29, 2017
Citation
Luca, P., Benedetto, A., Enrico, B., Francesco, G., Marco, M., and Tommaso, M. (December 19, 2017). "Integrated Design and Testing of an Anemometer for Autonomous Sail Drones." ASME. J. Dyn. Sys., Meas., Control. May 2018; 140(5): 055001. https://doi.org/10.1115/1.4037840
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