• DocumentCode
    2845922
  • Title

    A Virtual velocity attractor, harmonic potential approach for joint planning and control of a UAV

  • Author

    Masoud, A.A.

  • Author_Institution
    Electr. Eng. Dept., King Fahad Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    432
  • Lastpage
    437
  • Abstract
    The objective of this work is to develop a practical, closed-loop and simple navigation controller that suits a large variety of unmanned aerial vehicles (UAVs). The method indirectly controls the trajectory of a UAV by regulating its velocity using as a reference a dense vector field derived from the gradient of a harmonic potential filed (HPF). The field functions to inject the robot´s context in the control process by forcing its group structure to observe a set of state and differential constraints that reflect the contents of the environment, the goal to be reached and the constraints on behavior. The velocity regulation process is carried-out using a novel concept called the: virtual velocity attractor (VVA). The HPF approach, the VVA procedure and a recently suggested two stage approach for modeling the motion of rigid, nonholonomic robots [43] seems to be well-matched to each other enabling easy, on-line conversion of the provably-correct guidance signal from the HPF planner into a well-behaved control signal that can be fed to the actuator of the UAV.
  • Keywords
    actuators; autonomous aerial vehicles; mobile robots; motion control; trajectory control; velocity control; HPF approach; HPF planner; UAV actuator; UAV trajectory control; VVA procedure; closed loop controller; dense vector field; differential constraints; guidance signal conversion; harmonic potential filed; motion modeling; navigation controller; rigid nonholonomic robot; state constraints; two-stage approach; unmanned aerial vehicles; velocity regulation process; virtual velocity attractor; Force; Harmonic analysis; Navigation; Planning; Robot kinematics; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990735
  • Filename
    5990735