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dc.contributor.advisorGravdahl, Jan Tommy
dc.contributor.advisorFurseth, Jostein
dc.contributor.authorCoates, Erlend Magnus Lervik
dc.date.accessioned2019-09-11T11:42:31Z
dc.date.created2017-08-01
dc.date.issued2017
dc.identifierntnudaim:16502
dc.identifier.urihttp://hdl.handle.net/11250/2616104
dc.description.abstractThis work consists of theoretical and practical advances in the development of a fully thrust-vectoring hybrid vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV). A high-fidelity dynamic simulation model is successfully implemented in Matlab and Simulink based on a 10 DOF Euler-Lagrange approach, including actuator dynamics and external aerodynamic forces. A reformulation of a previously proposed control allocation scheme is presented based on quadratic programming (QP). The proposed model and control allocation method is verified through simulation. Simulation results show that the vehicle is able to track attitude and velocity commands. The inertial properties and propeller parameters used in simulation are based on CAD-models and propeller tests of an actual prototype UAV developed by Sevendof AS. Further, a test platform for autopilot implementation, including software-in-the-loop simulation (SITL), is developed based on the open-source software frameworks PX4 and Gazebo. The implemented autopilot successfully stabilizes the vehicle in SITL simulation, and is further verified through flight tests in an indoor test rig. The flight experiments show that the proposed autopilot solution succesfully stabilizes the attitude and velocity of the prototype vehicle.en
dc.languageeng
dc.publisherNTNU
dc.subjectKybernetikk og robotikk (2 årig)en
dc.titleHover Control of Thrust Vectoring VTOL Flying Wing - Modeling, Control and Development of Test Platform with Experimental Resultsen
dc.typeMaster thesisen
dc.source.pagenumber159
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi og elektroteknikk,Institutt for teknisk kybernetikknb_NO
dc.date.embargoenddate2020-08-01


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