Abstract
Despite many research studies focus on strategies to improve autopilot capabilities and bring artificial intelligence onboard Unmanned Aircraft Systems (UAS), there are still few experimental activities related to these vehicle performance under unconventional weather conditions. Air temperature and altitudes directly affect thrust and power coefficients of small scale propeller for UAS applications. Reynolds numbers are usually within the range 10,000 to 100,000 and important aerodynamic effects, such as the laminar separation bubbles, occur with a negative impact on propulsion performance. The development of autonomous UAS platforms to reduce pilot work-load and allow Beyond Visual Line of Sight (BVLOS) operations requires experimental data to validate capabilities of these innovative vehicles. High quality data are needed for a deep understanding of limitations and opportunities of UAS under unconventional flight conditions. The primary objective of this article is to present the characterization of a propeller and a quadrotor capabilities in a pressure-climate-controlled chamber. Mechanical and electrical data are measured with a dedicated test setup over a wide range of temperatures and altitudes. Test results are presented in terms of thrust and power coefficient trends. The experimental data shows low Reynolds numbers are responsible for degraded thrust performance. Moreover, details on brushless motor capabilities are also discussed considering different temperature and pressure conditions. The experimental data collected in the test campaign will be leveraged to improve UAS design, propulsion system modelling as well as to provide guidelines for safe UAS operations in extreme environments.
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References
Aggarwal, S., Kumar, N.: Path planning techniques for unmanned aerial vehicles: a review, solutions, and challenges. Comput. Commun. 149, 270–299 (2020)
Brandt, J., Selig, M.: Propeller performance data at low reynolds numbers. In: 49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, p 1255 (2011)
Brandt, J.B.: Small-scale propeller performance at low speeds. Ph.D. thesis, University of Illinois at Urbana-Champaign (2005)
Cheeseman, I., Bennett, W.: The effect of the ground on a helicopter rotor. R & M 3021 (1957)
Conyers, S.A.: Empirical evaluation of ground, ceiling, and wall effect for small-scale rotorcraft. Ph.D. thesis, University of Denver (2019)
Danis, R.: Investigating forward flight multirotor wind tunnel testing in a 3-by 4-foot wind tunnel. Master’s thesis, California Polytechnic State University (2018)
Delta-OHM: Specification sheet hd9408.3b sensor. https://www.deltaohm.com/en/wp-content/uploads/document/DeltaOHM-HD9408.3B-precision-barometer-datasheet-en.pdf (2019)
Deters, R.: Performance and slipstream characteristics of small-scale propellers at low reynolds numbers. Ph.D. thesis, University of Illinois at Urbana-Champaign (2014)
Deters, R., Selig, M.: Static testing of micro propellers. In: 26th AIAA Applied Aerodynamics Conference, p 6246 (2008)
Deters, R.W., Ananda Krishnan, G.K., Selig, M.S.: Reynolds number effects on the performance of small-scale propellers. In: 32nd AIAA Applied Aerodynamics Conference, p 2151 (2014)
Elektronik, E.: Specification sheet e211 sensor. http://www.epluse-us.com/en/products/humidity-instruments/humidity-transmitters-for-hvac-applications/ee211/ (2019)
Foster, J.V., Miller, L.J., Busan, R.C., Langston, S., Hartman, D.: Recent nasa wind tunnel free-flight testing of a multirotor unmanned aircraft system. In: AIAA Scitech 2020 Forum, p 1504 (2020)
Fraga-Lamas, P., Ramos, L., Mondéjar-Guerra, V., Fernández-Caramés, T.M.: A review on iot deep learning uav systems for autonomous obstacle detection and collision avoidance. Remote Sens. 11(18), 2144 (2019)
Gong, A., Verstraete, D.: Experimental testing of electronic speed controllers for uavs. In: 53rd AIAA/SAE/ASEE Joint Propulsion Conference, p 4955 (2017)
Gur, O., Rosen, A.: Optimizing electric propulsion systems for unmanned aerial vehicles. J. Aircr. 46(4), 1340–1353 (2009)
Hann, R.: Uav icing: ice accretion experiments and validation. Tech. rep., SAE Technical Paper (2019)
Hann, R., Wenz, A., Gryte, K., Johansen, T. A.: Impact of atmospheric icing on uav aerodynamic performance. In: 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS), pp 66–71. IEEE (2017)
Houghton, E.L., Carpenter, P.W.: Aerodynamics for Engineering Students. Elsevier (2003)
Ipetronik: Ipetronick specification sheet. https://www.ipetronik.com/products.html (2020)
Axis Load Cell Systems, J.M.: Specification sheet 30e15 f/t sensor. https://www.jr3.com/resources/specification-sheets (2019)
Lorefice, L., Pralio, B., Quagliotti, F.: Fluorescent oil flow visualization technique applied to 2d airfoils at very low reynolds numbers (2004)
Mascarello, L.N.: Analysis and development of harmless suas (small unmanned aerial systems). Ph.D. thesis, Politecnico di Torino (2018)
McCormick, B.W.: Aerodynamics, Aeronautics, and Flight Mechanics. Wiley, New York (1995)
Murata-Power: 50mv and 100mv base-mounted dc shunts. https://docs.rs-online.com/d2c9/0900766b81362844.pdf (2019)
Niedrist, G., Nollo, A., Brugger, H., Vilardi, A., Leitinger, G., Tappeiner, U.: terraxcube: an emerging ecotrone to converge chamber experiments and environmental studies in alpine ecology. In: EGU General Assembly Conference Abstracts, vol. 20, p 13616 (2018)
Pedro, D., Mora, A., Carvalho, J., Azevedo, F., Fonseca, J.: Colanet: a uav collision avoidance dataset. In: Doctoral Conference on Computing, Electrical and Industrial Systems, pp 53–62. Springer (2020)
Russell, C.R., Jung, J., Willink, G., Glasner, B.: Wind tunnel and hover performance test results for multicopter uas vehicles. Tech. rep., NASA Ames (2016)
Russell, C.R., Sekula, M.K.: Comprehensive analysis modeling of small-scale uas rotors. Tech. rep., NASA Ames (2017)
Scanavino, M.: Design and testing methodologies for uavs under extreme environmental conditions. Ph.D. thesis, Politecnico di Torino. Submitted, under review (2020)
Scanavino, M., Avi, A., Vilaradi, A., Guglieri, G.: Uas testing in low pressure and temperature conditions. In: International Conference on Unmanned Aircraft Systems (ICUAS) (2020)
Scanavino, M., Vilardi, A., Guglieri, G.: An experimental analysis on propeller performance in a climate-controlled facility. J. Intell. Robot. Syst. 1–13 (2020)
Sebastian, T.: Temperature effects on torque production and efficiency of pm motors using ndfeb magnets. IEEE Trans. Ind. Appl. 31(2), 353–357 (1995)
Sick: Photoelectric sensor wla16p. https://www.sick.com/it/it/sensori-fotoelettrici/sensori-fotoelettrici/w16/wla16p-24162100a00/p/p512654 (2019)
T-Motor: T-motor brushless motor mn3508. http://store-en.tmotor.com/goods.php?id=354 (2020)
TensorFlow: Tensorflow. https://www.tensorflow.org/ (2020)
terraXcube: terraxcube—large cube datasheet. https://terraxcube.eurac.edu/about-us/#structure (2019)
Zohdi, T.: The game of drones: rapid agent-based machine-learning models for multi-uav path planning. Comput. Mech. 65(1), 217–228 (2020)
Acknowledgements
The authors would like to thank terraXcube Eurac Research staff for their support and collaboration during test activities.
Funding
Open access funding provided by Politecnico di Torino within the CRUI-CARE Agreement. The research leading to these results has received funding from the European Regional Development Fund 2014-2020, under Grant Agreement 2223/2017/Project number FESR1048, Creazione di un servizio di sviluppo tecnico per droni testati per il funzionamento in condizioni ambientali estreme, DronEx.
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Conceptualization, M.Scanavino, A.Vilardi and G.Guglieri; methodology, M.Scanavino, A.Avi, A.Vilardi and G.Guglieri; experimental test preparation and execution, M.Scanavino and A.Avi; formal analysis, M.Scanavino; resources, A.Vilardi and G.Guglieri; writing—original draft preparation, M.Scanavino; writing—review and editing, M.Scanavino; supervision, A.Vilardi and G.Guglieri; project administration, A.Vilardi and G.Guglieri; funding acquisition, A.Vilardi and G.Guglieri.
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Scanavino, M., Avi, A., Vilardi, A. et al. Unmanned Aircraft Systems Performance in a Climate-Controlled Laboratory. J Intell Robot Syst 102, 24 (2021). https://doi.org/10.1007/s10846-021-01392-4
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DOI: https://doi.org/10.1007/s10846-021-01392-4