• DocumentCode
    696408
  • Title

    Single range navigation in the presence of constant unknown drifts

  • Author

    Batista, Pedro ; Silvestre, Carlos ; Oliveira, Paulo

  • Author_Institution
    Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal
  • fYear
    2009
  • fDate
    23-26 Aug. 2009
  • Firstpage
    3983
  • Lastpage
    3988
  • Abstract
    This paper addresses the problem of navigation/source localization by mobile agents based on the range to a single source. The agent is allowed to have a constant unknown drift relative to an inertial reference frame, which is common, for example, in ocean robotic vehicles in the presence of sea currents, and the source may also have a constant unknown velocity relative to the inertial frame. The contribution of the paper is twofold: i) necessary and sufficient conditions on the observability of the system are derived that are useful for the motion planning and control of the agent; ii) a linear model is developed that mimics the exact dynamics of the nonlinear range-based system, and a Kalman filter is synthesized to estimate the position of the source, as well as the difference between the agent and the source drift velocities. Simulation results that illustrate the performance of the proposed solution in the presence of realistic measurement noise are presented and discussed.
  • Keywords
    Kalman filters; inertial navigation; measurement errors; mobile agents; mobile robots; motion control; nonlinear dynamical systems; path planning; Kalman filter; constant unknown drifts; inertial reference frame; mobile agents; motion control; motion planning; necessary and sufficient conditions; nonlinear range-based system; ocean robotic vehicles; realistic measurement noise; sea currents; single range navigation; source drift velocities; source localization; Linear systems; Navigation; Nonlinear dynamical systems; Observability; Sea measurements; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2009 European
  • Conference_Location
    Budapest
  • Print_ISBN
    978-3-9524173-9-3
  • Type

    conf

  • Filename
    7075023