• DocumentCode
    1752658
  • Title

    Control Vector Parameterization Method with Time Nodes Parameters

  • Author

    Zhang, Xiaodong ; Li, Shurong

  • Author_Institution
    Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1707
  • Lastpage
    1711
  • Abstract
    A time nodes optimization method is presented for the solution of optimal control problems (OCP) using control vector parameterization (CVP). The control variable in each time interval is approached by a function of time nodes parameters and other decision parameters. The infinite dimensional optimal control problems were approximated into nonlinear programming (NLP) problems, the gradient of which can be analytically obtained. The NLP problems were solved and resulted in non-uniform time grid. Two cases of optimal control problem were solved by the proposed methodology. One is OCP of an ODE system and the superior results are given comparing with the fixed time grid method. Another is optimal injection strategy determination of polymer flooding, which is a sort of OCP constrained to satisfy PDEs. The efficiency is illustrated for solving this kind of problem by the given method
  • Keywords
    nonlinear programming; optimal control; control vector parameterization; decision parameters; fixed time grid method; infinite dimensional optimal control problems; nonlinear programming; nonuniform time grid; time nodes optimization; time nodes parameters; Automation; Control engineering; Educational institutions; Floods; Intelligent control; Optimal control; Optimization methods; Petroleum; Polymers; Roentgenium; control vector parameterization; optimal control; time nodes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1712644
  • Filename
    1712644