• DocumentCode
    3365576
  • Title

    Direct collocation and nonlinear programming for optimal control problem using an enhanced transcribing scheme

  • Author

    Hu, G.S. ; Ong, C.J. ; Teo, C.L.

  • Author_Institution
    Dept. of Mech. & Production Eng., Nat. Univ. of Singapore, Singapore
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    369
  • Lastpage
    374
  • Abstract
    In this paper, an enhanced transcribing scheme is proposed for solving optimal control problems using direct collocation and nonlinear programming. This new scheme is based on the standard method of direct collocation that converts an optimal control problem into a nonlinear programming problem via simultaneous state and control discretization. When compared with the standard method, the enhanced scheme has the advantage of higher solution accuracy with minimal additional computational effort. It is particularly suited for systems with states that are related to each other in a special form. For such systems, the ensuing nonlinear programming problem has the same number of constraints as those using standard method. Numerical results on several optimal control problems using the enhanced scheme are presented, together with comparisons of the results obtained from standard scheme
  • Keywords
    control system analysis; nonlinear programming; optimal control; state-space methods; direct collocation; nonlinear programming; numerical methods; optimal control; state dynamics; state space equation; transcribing scheme; Design engineering; Differential equations; Dynamic programming; Nonlinear dynamical systems; Nonlinear equations; Optimal control; Performance analysis; Production engineering; Quadratic programming; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Control System Design, 1999. Proceedings of the 1999 IEEE International Symposium on
  • Conference_Location
    Kohala Coast, HI
  • Print_ISBN
    0-7803-5500-8
  • Type

    conf

  • DOI
    10.1109/CACSD.1999.808676
  • Filename
    808676