Lossless convexification of quadrotor motion planning with experiments

dc.contributor.advisorLongoria, Raul G.
dc.contributor.advisorAçıkmeşe, Behçet
dc.creatorPehlivantürk, Canen
dc.date.accessioned2014-10-09T16:18:38Zen
dc.date.issued2014-08en
dc.date.submittedAugust 2014en
dc.date.updated2014-10-09T16:18:38Zen
dc.descriptiontexten
dc.description.abstractThis thesis describes a motion planning method that is designed to guide an autonomous quadrotor. The proposed method is based on a novel lossless convexication, which was first introduced in (12), that allows convex representations of many non-convex control constraints, such as that of the quadrotors. The second contribution of this thesis is to include two separate methods to generate path constraints that capture non-convex position constraints. Using the convexied optimal trajectory generation problem with physical and path constraints, an algorithm is developed that generates fuel optimal trajectories given the initial state and desired final state. As a proof of concept, a quadrotor testbed is developed that utilize a state-of-the-art motion tracking system. The quadrotor is commanded via a ground station where the convexified optimal trajectory generation algorithm is successfully implemented together with a trajectory tracking feedback controller.en
dc.description.departmentMechanical Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/26388en
dc.language.isoenen
dc.subjectQuadrotoren
dc.subjectUAVen
dc.subjectTrajectory generationen
dc.subjectConvexificationen
dc.titleLossless convexification of quadrotor motion planning with experimentsen
dc.typeThesisen
thesis.degree.departmentMechanical Engineeringen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen

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