Obstacle Avoidance for Unmanned Aerial Vehicle Trajectory Planning Using Virtual Convex Projection Technique

No AccessEngineering NotesObstacle Avoidance for Unmanned Aerial Vehicle Trajectory Planning Using Virtual Convex Projection TechniqueZichen Zhao, Haibin Shang and Yue DongZichen ZhaoBeijing Institute of Technology, 100081 Beijing, People’s Republic of China*Ph.D. Candidate, School of Aerospace Engineering; .Search for more papers by this author, Haibin ShangBeijing Institute of Technology, 100081 Beijing, People’s Republic of China†Professor, Key Laboratory of Dynamics and Control of Flight Vehicle; (Corresponding Author).Search for more papers by this author and Yue Dong https://orcid.org/0000-0002-9326-1933Beijing Institute of Technology, 100081 Beijing, People’s Republic of China‡M.D. Candidate, School of Aerospace Engineering; .Search for more papers by this authorPublished Online:30 Nov 2021https://doi.org/10.2514/1.G006100SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Farid G., Mo H. 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S. and Açikmeşe B., “Real-Time Quad-Rotor Path Planning Using Convex Optimization and Compound State-Triggered Constraints,” 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, New York, 2019, pp. 7666–7673. https://doi.org/10.1109/IROS40897.2019.8967706 Google Scholar Previous article Next article FiguresReferencesRelatedDetailsCited byAutonomous trajectory planning for multi-stage launch vehicles using mass-projection sequential penalized convex relaxation methodAdvances in Space Research, Vol. 15Self-Adjusting Angular Resolution-based Obstacle Avoidance for Inspection Unmanned Aerial Vehicles in Nuclear Power Stations What's Popular Volume 45, Number 3March 2022 CrossmarkInformationCopyright © 2021 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3884 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAircraft ControlAircraft Engine ControlsAircraft Flight Control SystemAircraft Operations and TechnologyAircraft Stability and ControlAircraftsControl TheoryEngine ControlGuidance, Navigation, and Control SystemsOptimal Control TheoryRotorcraftsUnmanned Aerial Vehicle KeywordsUAVObstacle AvoidanceNonlinear ProgrammingMultirotorFuel ConsumptionSearch AlgorithmComputingAttitude StabilizationNumerical SimulationDamage AssessmentAcknowledgmentsThis work was supported in part by the National Natural Science Foundation of China (Grant No. 11772050), in part by the National Key Research and Development Program of China (Grant No. 2016QY01 W0200), in part by the Science and Technology on Space Intelligent Control Laboratory (Grant No. KGJZDSYS-2018-10), and in part by the Civil Aerospace Research Project of China.PDF Received1 April 2021Accepted28 October 2021Published online30 November 2021