• DocumentCode
    3288708
  • Title

    Computational geometric optimal control of connected rigid bodies in a perfect fluid

  • Author

    Taeyoung Lee ; Leok, M. ; McClamroch, N.H.

  • Author_Institution
    Mech. & Aerosp. Eng., Florida Inst. of Technol., Melbourne, FL, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    5985
  • Lastpage
    5990
  • Abstract
    This paper formulates an optimal control problem for a system of rigid bodies that are neutrally buoyant, connected by ball joints, and immersed in an irrotational and incompressible fluid. The rigid bodies can translate and rotate in three-dimensional space, and each joint has three rotational degrees of freedom. We assume that internal control moments are applied at each joint. We present a computational procedure for numerically solving this optimal control problem, based on a geometric numerical integrator referred to as a Lie group variational integrator. This computational approach preserves the Hamiltonian structure of the controlled system and the Lie group configuration manifold of the connected rigid bodies, thereby finding complex optimal maneuvers of connected rigid bodies accurately and efficiently. This is illustrated by numerical computations.
  • Keywords
    Lie groups; biomechanics; geometry; mobile robots; motion control; optimal control; variational techniques; Hamiltonian structure; Lie group configuration manifold; Lie group variational integrator; ball joints; complex optimal maneuver; computational geometric optimal control; connected rigid bodies; fish locomotion; geometric numerical integrator; incompressible fluid; irrotational fluid; neutrally buoyant; perfect fluid; three-dimensional space; Aerospace engineering; Analytical models; Automotive engineering; Control systems; Equations; Marine animals; Optimal control; Robots; Shape control; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531258
  • Filename
    5531258