A Study of the Wind Sensing Performance of Small Pusher and Puller Hexacopters

No AccessEngineering NotesA Study of the Wind Sensing Performance of Small Pusher and Puller HexacoptersJavier González-Rocha, Prashin Sharma, Ella Atkins and Craig WoolseyJavier González-Rocha https://orcid.org/0000-0003-3638-2664University of California, Santa Cruz, Santa Cruz, California, 95064*Assistant Professor, Department of Applied Mathematics. Member AIAA.Search for more papers by this author, Prashin Sharma https://orcid.org/0000-0003-2828-4087University of Michigan, Ann Arbor, Michigan 48109†Graduate Student, Robotics Institute. Student Member AIAA.Search for more papers by this author, Ella Atkins https://orcid.org/0000-0003-2132-6256Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061‡Professor and Department Head, Kevin T. Crofton Department of Aerospace Engineering. Fellow AIAA.Search for more papers by this author and Craig Woolsey https://orcid.org/0000-0003-3483-7135Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061§Professor, Kevin T. Crofton Department of Aerospace and Ocean Engineering. Member AIAA.Search for more papers by this authorPublished Online:30 Jul 2023https://doi.org/10.2514/1.C036792SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] González-Rocha J., Woolsey C. A., Sultan C., de Wekker S. and Rose N., “Measuring Atmospheric Winds from Quadrotor Motion,” AIAA Atmospheric Flight Mechanics Conference, AIAA Paper 2017-1189, 2017. https://doi.org/10.2514/6.2017-1189 LinkGoogle Scholar[2] González-Rocha J., Woolsey C. A., Sultan C. and De Wekker S. F. 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All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3868 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAeronauticsAir MobilityAircraft Operations and TechnologyAircraftsAviationComputing, Information, and CommunicationControl TheoryGuidance, Navigation, and Control SystemsRoboticsRobotsSignal ProcessingUnmanned Aerial Vehicle KeywordsUnmanned Aerial VehiclePower Spectral DensityAerial RobotsSystem IdentificationAdvanced Air MobilityWind EstimationAtmospheric SensingAcknowledgmentsThe authors gratefully acknowledge the financial support from the Center for Unmanned Aircraft Systems (UAS), the National Science Foundation (NSF) I/Industry-University Research Partnerships (UCRC) (grant no. CNS-1650465), and NASA (grant no. 80NSSC20M0162). The authors also gratefully acknowledge the constructive feedback from anonymous reviewers. Additionally, the authors are thankful to David G. Schmale, III, of Virginia Polytechnic Institute and State University’s School of Plant and Environmental Sciences, who provided equipment to support the wind estimation validation experiments.PDF Received15 December 2021Accepted18 June 2023Published online30 July 2023