• DocumentCode
    2119448
  • Title

    Adaptive filter applications to autonomous underwater vehicle

  • Author

    Lainiotis, D.G. ; Menon, Dinesh ; Plataniotis, K.N. ; Charalampous, C.J.

  • Author_Institution
    Florida Inst. of Technol., Melbourne, FL, USA
  • fYear
    1993
  • fDate
    18-21 Oct 1993
  • Abstract
    A powerful adaptive filter algorithm for estimation of forces acting on an Autonomous Underwater Vehicle (AUV) and the corresponding adaptive control law which determines the desired heading commands are considered in this paper. Due to the complicated nature of AUV´s task and incorporation of the ocean current, uncertain parameters arise in the equations of motion that constitute the AUV´s dynamic model. Based on the Lainiotis Partitioning Theory, a highly adaptive scheme is used to estimate the velocity components for controlling the vehicle. Extensive simulations demonstrate the robustness and the effectiveness of the new scheme in a variety of different environments
  • Keywords
    adaptive control; adaptive filters; kinematics; marine systems; mobile robots; velocity control; Lainiotis partitioning theory; adaptive control law; adaptive filter; autonomous underwater vehicle; heading commands; ocean current; robustness; uncertain parameters; velocity components; Adaptive control; Adaptive filters; Motion measurement; Nonlinear equations; Programmable control; Q measurement; Remotely operated vehicles; Rotation measurement; Underwater vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS '93. Engineering in Harmony with Ocean. Proceedings
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-1385-2
  • Type

    conf

  • DOI
    10.1109/OCEANS.1993.326109
  • Filename
    326109