Artigo Revisado por pares

Downwash Detection and Avoidance with Small Quadrotor Helicopters

2016; American Institute of Aeronautics and Astronautics; Volume: 40; Issue: 3 Linguagem: Inglês

10.2514/1.g001465

ISSN

1533-3884

Autores

Derrick Yeo, Nitin Sydney, Derek A. Paley, Donald Sofge,

Tópico(s)

Real-time simulation and control systems

Resumo

No AccessEngineering NoteDownwash Detection and Avoidance with Small Quadrotor HelicoptersDerrick W. Yeo, Nitin Sydney, Derek A. Paley and Donald SofgeDerrick W. YeoUniversity of Maryland, College Park, Maryland 20742, Nitin SydneyUniversity of Maryland, College Park, Maryland 20742, Derek A. PaleyUniversity of Maryland, College Park, Maryland 20742 and Donald SofgeNaval Research Laboratory, Washington, D.C. 20375Published Online:2 Dec 2016https://doi.org/10.2514/1.G001465SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Belkheri M., Rabhi A., Hajjaji A. and Pergard C., "Different Linearization Control Techniques for a Quadrotor System," 2nd International Conference on Communications, Computing and Control Applications (CCCA), Marseilles, 2012, pp. 1–6. doi:https://doi.org/10.1109/CCCA.2012.6417914 Google Scholar[2] Alexander D. and Vogel S., Nature's Flyers: Birds, Insects, and the Biomechanics of Flight, Johns Hopkins Univ. Press, Baltimore, MD, Oct. 2004, pp. 132–134. Google Scholar[3] Gewecke M. and Woike M., "Breast Feathers as an Air-Current Sense Organ for the Control of Flight Behaviour in a Songbird (Carduelis Spinus)," Zeitschrift für Tierpsychologie, Vol. 47, No. 3, pp. 293–298, 1978. doi:https://doi.org/10.1111/eth.1978.47.issue-3 CrossrefGoogle Scholar[4] Brown R. and Fedde M., "Airflow Sensors in the Avian Wing," Journal of Experimental Biology, Vol. 179, No. 1, 1993, pp. 13–30. JEBIAM 0022-0949 CrossrefGoogle Scholar[5] Herwitz S., Allmendinger K., Slye R., Dunagan S., Lobitz B., Johnson L. and Brass J., "Nighttime UAV Vineyard Mission: Challenges of See-and-Avoid in the NAS," AIAA 3rd Unmanned Unlimited Conference, Workshop and Exhibit, AIAA Paper 2004-6417, Sept. 2004, pp. 1–6. LinkGoogle Scholar[6] Beard R., Kingston D., Quigley M., Snyder D., Christiansen R., Johnson W., McLain T. and Goodrich M., "Autonomous Vehicle Technologies for Small Fixed Wing UAVs," Journal of Aerospace Computing, Information, and Communication, Vol. 2, No. 1, Jan. 2005, p. 92. doi:https://doi.org/10.2514/1.8371 LinkGoogle Scholar[7] Hirokawa R., Kubo D., Suzuki S., Meguro J. and Suzuki T., "Small UAV for Immediate Hazard Map Generation," AIAA [email protected] Conference, AIAA Paper 2007-2725, May 2007. LinkGoogle Scholar[8] Hsiao F., Ding Y., Chuang C., Lin C. and Huang Y., "The Design of a Small UAV System as a Testbed of Formation Flight," AIAA [email protected] Conference, AIAA Paper 2011-1422, March 2011. LinkGoogle Scholar[9] Eubank R., Atkins E. and Macy D., "Autonomous Guidance and Control of the Flying Fish Ocean Surveillance Platform," AIAA [email protected] Conference, AIAA Paper 2009-2021, April 2009. LinkGoogle Scholar[10] Rasmussen N., Morse B. and Taylor C., "Fixed-Wing, Mini-UAV System for Aerial Search Operations," AIAA Guidance Navigation and Control Conference and Exhibit, AIAA Paper 2007-6819, Aug. 2007. LinkGoogle Scholar[11] Xie P., Flores-Abad A., Martinez G. and Ma O., "Development of a Small UAV with Autopilot Capability," AIAA Atmospheric Flight Mechanics Conference, AIAA Paper 2011-6449, Aug. 2011. LinkGoogle Scholar[12] Patel M., Sowle Z., Corke T. and He C., "Autonomous Sensing and Control of Wing Stall Using a Smart Plasma Slat," 44th AIAA Aerospace Sciences Meeting, AIAA Paper 2006-1207, Jan. 2006. LinkGoogle Scholar[13] Bowles P. and Corke T., "Stall Detection on a Leading-Edge Plasma Actuated Pitching Airfoil Utilizing Onboard Measurement," 47th Aerospace Sciences Meeting, AIAA Paper 2009-0093, Jan. 2009. LinkGoogle Scholar[14] Xu Y., Jiang F., Newbern S., Huand A., Ho C. and Tai Y., "Flexible Shear-Stress Sensor Skin and Its Application to Unmanned Aerial Vehicles," Sensors and Actuators A: Physical, Vol. 105, No. 3, 2003, pp. 321–329. doi:https://doi.org/10.1016/S0924-4247(03)00230-9 CrossrefGoogle Scholar[15] Gorsjean C., Lee G., Hong W., Tai Y. and Ho C., "Micro Balloon Actuators for Aerodynamic Control," 11th Annual International Workshop on Micro Electro Mechanical Systems, IEEE, Piscataway, NJ, Jan. 1998, pp. 166–171. CrossrefGoogle Scholar[16] AFOSR MURI: Adaptive Vorticity Control Enabled FlighT [online database], U.S. Air Force Office of Scientific Research, http://www.avocet.gatech.edu [retrieved 22 Aug. 2013]. Google Scholar[17] Barnwell W., "Flight Control Using Distributed Actuation and Sensing," M.S. Thesis, North Carolina State Univ., Raleigh, NC, 2003. Google Scholar[18] Lion S., "Control Authorities of a Distributed Actuation and Sensing Array on a Blended-Wing-Body Uninhabited Aerial Vehicle," M.S. Thesis, North Carolina State Univ., Raleigh, NC, 2007. Google Scholar[19] Mohamed A., Abdulrahim M., Watkins S. and Clothier R., "Development and Flight Testing of a Turbulence Mitigation System for Micro Air Vehicles," Journal of Field Robotics, Vol. 33, No. 5, Aug. 2015, pp. 639–660. CrossrefGoogle Scholar[20] Cox C., Gopalarathnam A. and Hall C. E., "Flight Test of Stable Automated Cruise Flap for an Adaptive Wing Aircraft," Journal of Aircraft, Vol. 47, No. 4, July–Aug. 2010, pp. 1178–1188. LinkGoogle Scholar[21] Yeo D., Atkins E., Bernal L. and Shyy W., "Aerodynamic Sensing for a Fixed Wing UAS Operating at High Angles of Attack," AIAA Atmospheric Flight Mechanics Conference, AIAA Paper 2012-4416, Aug. 2012. Google Scholar[22] Sydney N., Smyth B. and Paley D. A., "Dynamic Control of Autonomous Quadrotor Flight in an Estimated Wind Field," IEEE 52nd Annual Conference on, Decision and Control (CDC), IEEE, Piscataway, NJ, Dec. 2013, pp. 3609–3616. CrossrefGoogle Scholar[23] Alexis K., Nikolakopoulos G. and Tzes A., "Experimental Model Predictive Attitude Tracking Control of a Quadrotor Helicopter Subject to Wind-Gusts," 18th Mediterranean Conference on Control Automation (MED), Marrakech, Morocco, 2010, pp. 1461–1466. doi:https://doi.org/10.1109/MED.2010.5547844 Google Scholar[24] Alexis K., Nikolakopoulos G. and Tzes A., "Constrained-Control of a Quadrotor Helicopter for Trajectory Tracking Under Wind-Gust Disturbances," MELECON 2010, 15th IEEE Mediterranean Electrotechnical Conference, Valletta, 2010, pp. 1411–1416. doi:https://doi.org/10.1109/MELCON.2010.5476026 Google Scholar[25] Powers C., Mellinger D., Kushleyev A., Kothmann B. and Kumar V., "Influence of Aerodynamics and Proximity Effects in Quadrotor Flight," Experimental Robotics: The 13th International Symposium on Experimental Robotics, Springer, Heidelberg, 2013, pp. 289–302. doi:https://doi.org/10.1007/978-3-319-00065-7_21 Google Scholar[26] Khan W. and Nahon M., "Development and Validation of a Propeller Slipstream Model for Small Unmanned Aerial Vehicles," Journal of Aircraft, Vol. 52, No. 6, April 2015, pp. 1985–1994. LinkGoogle Scholar[27] Khan W. and Nahon M., "Improvement and Validation of a Propeller Slipstream Model for Small Unmanned Aerial Vehicles," Proceedings of International Conference on Unmanned Aircraft Systems (ICUAS), Orlando, FL, 2014, pp. 808–814. doi:https://doi.org/10.1109/ICUAS.2014.6842326 Google Scholar[28] White F., Viscous Fluid Flow, 3rd ed., McGraw–Hill Mechanical Engineering, New York, Jan. 2005, p. 91. Google Scholar[29] Jensen R., Albertson M., Dai Y. and Rouse H., "Diffusion of Submerged Jets," Transactions of the American Society of Civil Engineers, Vol. 115, No. 1, 1950, pp. 639–664. Google Scholar[30] Yeo D., "Performance and Slipstream Characteristics of Small-Scale Propellers at Low Reynolds Numbers," M.S. Thesis, Univ. of Illinois at Urbana–Champaign, Champaign, IL, 2014. Google Scholar[31] Yeo D., Shrestha E., Paley D. and Atkins E., "An Empirical Model of Rotorcraft UAV Downwash for Disturbance Localization and Avoidance," AIAA Atmospheric Flight Mechanics Conference, AIAA Paper 2015-1685, Jan. 2015. LinkGoogle Scholar[32] Yeo D., Sydney N., Paley D. and Sofge D., "Onboard Flow Sensing for Downwash Detection and Avoidance with a Small Quadrotor Helicopter," AIAA Guidance Navigation and Control Conference, AIAA Paper 2015-1769, Jan. 2015. LinkGoogle Scholar Previous article Next article FiguresReferencesRelatedDetailsCited byLane Geometry, Compliance Levels, and Adaptive Geo-fencing in CORRIDRONE Architecture for Urban MobilityAerodynamic imaging by mosquitoes inspires a surface detector for autonomous flying vehicles7 May 2020 | Science, Vol. 368, No. 6491Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial VehiclesIEEE Access, Vol. 8Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPCCentralized predictive ceiling interaction control of quadrotor VTOL UAVAerospace Science and Technology, Vol. 76 What's Popular Volume 40, Number 3March 2017 CrossmarkInformationCopyright © 2015 by Derrick W. Yeo, Nitin Sydney, Derek A. Paley, and Donald Sofge. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the ISSN 0731-5090 (print) or 1533-3884 (online) to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAerodynamic PerformanceAerodynamicsAeronautical EngineeringAeronauticsAirspeedBoundary LayersComputational Fluid DynamicsFlow Diagnostics and ControlFlow RegimesFluid DynamicsFluid Flow PropertiesVortex DynamicsWind Tunnels KeywordsQuadrotor HelicopterAerodynamic ForceRotary WingHigh Speed FlightFlight TestingBlended Wing BodyAccelerating FlowVelocity ProfilesUAVDifferential Pressure SensorsAcknowledgmentsThis work was performed at the University of Maryland and the Naval Research Laboratory, and it was funded by the U.S. Department of Defense, Office of Naval Research under grant number N0001413WX21045; the Mobile Autonomous Teams for Navy Information Surveillance and Search; the U.S. Army under grant no. W911W6112072; and the U.S. Air Force Office of Scientific Research under grant no. FA95501310162, Dynamic Data Driven Applications Systems. The views, positions, and conclusions expressed herein reflect only the authors opinions and expressly do not reflect those of the U.S. Department of Defense, the Office of Naval Research, or the Naval Research Laboratory.PDF Received12 May 2015Accepted14 December 2015Published online2 December 2016

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