• DocumentCode
    185140
  • Title

    Planing avoidance control for supercavitating vehicles

  • Author

    Escobar Sanabria, David ; Balas, Gary J. ; Arndt, Roger E. A.

  • Author_Institution
    Dept. of Aerosp. Eng. & Mech., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    4979
  • Lastpage
    4984
  • Abstract
    Underwater vehicles traveling inside a bubble or supercavity enable the reduction of drag and increase of speed; however, planing forces generated when the vehicle aft end pierces the bubble can lead to oscillatory motion and instability. In this paper, a framework for the synthesis of planing avoidance controllers is presented and the trade-off between tracking performance and planing avoidance is investigated. We propose mathematical models of the supercavity and planing forces, based on experimental data, that are used to construct a nonlinear model of the vehicle dynamics and a simplified version suitable for analysis and controller synthesis. A planing metric, based on the simplified vehicle dynamics, is used within the controller synthesis to avoid planing. Simulations of vehicle maneuvers demonstrate that including planing avoidance as a control objective, reduces planing and increases the bounds of tracking commands for which the vehicle remains stable.
  • Keywords
    collision avoidance; control system synthesis; drag reduction; underwater vehicles; vehicle dynamics; drag reduction; for supercavitating vehicles; mathematical models; nonlinear model; oscillatory motion; planing avoidance controller synthesis; planing forces; tracking performance; underwater vehicles; vehicle dynamics; vehicle maneuver simulation; Computational modeling; Dynamics; Measurement; Planing; Vectors; Vehicle dynamics; Vehicles; Aerospace; Flight control; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859485
  • Filename
    6859485