Path planning using concatenated analytically-defined trajectories for quadrotor UAVs

Jamieson, Jonathan and Biggs, James (2015) Path planning using concatenated analytically-defined trajectories for quadrotor UAVs. Aerospace, 2 (2). pp. 155-170. ISSN 2052-451X

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    Abstract

    This paper presents a semi-analytical trajectory planning method for quadrotor UAVs. These trajectories are analytically defined, are constant in speed and sub-optimal with respect to a weighted quadratic cost function of the translational and angular velocities. A technique for concatenating the trajectories into multi-segment paths is demonstrated. These paths are smooth to the first derivative of the translational position and pass through defined waypoints. A method for detecting potential collisions by discretizing the path into a coarse mesh before using a numerical optimiser to determine the point of the path closest to the obstacle is presented. This hybrid method reduces the computation time when compared to discretizing the trajectory into a fine mesh and calculating the minimum distance. A tracking controller is defined and used to show that the paths are dynamically feasible and the typical magnitudes of the controller inputs required to fly them.

    Creators(s): Jamieson, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5783-0185 and Biggs, James;
    Item type:Article
    ID code:52813
    Keywords:UAV, trajectory planning, quadrotor, obstacle avoidance, sub-Riemannian curves, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Mechanical Engineering, Aerospace Engineering, Control and Systems Engineering
    Subjects:Technology > Mechanical engineering and machinery
    Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Technology and Innovation Centre > Advanced Engineering and Manufacturing
    Depositing user: Pure Administrator
    Date deposited:23 Apr 2015 14:22
    Last modified:21 Nov 2020 03:06
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/52813
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