• DocumentCode
    3136553
  • Title

    A new DMOC-based approach to solve Goddard rocket problem

  • Author

    Zhang, Jiawei ; Zhang, Weizhong ; Shan, Jiayuan

  • Author_Institution
    Key Lab. of Dynamic & Control of Flight Vehicle, Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    2165
  • Lastpage
    2169
  • Abstract
    A new methodology - DMOC (Discrete Mechanics and Optimal Control) is presented to solve the classic Goddard rocket problem. This method firstly discretizes the Lagrange-d´Alembert principle for the rocket system, the resulting forced discrete Euler-Lagrange equations then serve as constraints for the optimization of a given cost functional. Therefore the optimal control problem is converted into a nonlinear programming (NLP) problem, which is modelled in AMPL (Advanced Mathematical Programming Language) and solved in a solver named as IPOPT (Interior Point Optimizer). Finally, the DMOC-based approach successfully solves the Goddard rocket problem, which is a terminal free, singular optimal control problem with path constrain; the results are proved reliable and effective by comparison with the results of conventional solution and statistical analysis.
  • Keywords
    aerospace control; discrete systems; nonlinear programming; optimal control; rockets; statistical analysis; AMPL; Advanced Mathematical Programming Language; DMOC-based approach; Goddard rocket problem; IPOPT; Lagrange-d´Alembert principle; NLP problem; cost functional; discrete Euler-Lagrange equation; discrete mechanics and optimal control; interior point optimizer; nonlinear programming; optimal control problem; optimization; rocket system; statistical analysis; Approximation methods; Mathematical model; Optimal control; Optimization; Programming; Reactive power; Rockets; AMPL; DMOC; Goddard rocket problem; IPOPT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1275-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2012.6285678
  • Filename
    6285678