• DocumentCode
    3539403
  • Title

    A projected Lagrange-d´Alembert principle for forced nonsmooth mechanics and optimal control

  • Author

    Pekarek, David ; Murphey, Todd D.

  • Author_Institution
    Data Tactics Corp., McLean, VA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    7777
  • Lastpage
    7784
  • Abstract
    This paper extends the projected Hamilton´s principle (PHP) formulation of nonsmooth mechanics to include systems with nonconservative forcing according to a projected Lagrange-d´Alembert principle (PLdAP). As seen with the conservative PHP, the PLdAP treats mechanical systems on the whole of their configuration space, captures nonsmooth behaviors using a projection mapping onto the system´s feasible space, and offers additional smoothness (relative to classical approaches) in the space of solution curves. Examining implications of the PLdAP for fully actuated optimal control problems, we prove that to identify optimal feasible trajectories it is sufficient to find unconstrained trajectories according to an alternate set of optimality conditions. Focusing on the control problem expressed in the unconstrained space, we approximate optimal solutions with a path planning method that dynamically adds and removes impacts during optimization. The method is demonstrated in determining an optimal policy for a forced particle subject to a nonlinear unilateral constraint.
  • Keywords
    impact (mechanical); optimal control; path planning; PLdAP; conservative PHP; forced nonsmooth mechanics; forced particle subject; fully actuated optimal control; mechanical systems; nonconservative forcing; nonlinear unilateral constraint; path planning method; projected Hamilton´s principle; projected Lagrange-d´Alembert principle; projection mapping; unconstrained trajectories; Aerospace electronics; Equations; Force; Mechanical systems; Optimal control; Optimization; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6761124
  • Filename
    6761124