IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-55240-4_1.html
   My bibliography  Save this book chapter

Global Optimization Approach for the Ascent Problem of Multi-stage Launchers

In: Modeling, Simulation and Optimization of Complex Processes HPSC 2018

Author

Listed:
  • O. Bokanowski

    (University Paris Diderot, Lab. J.-L. Lions)

  • E. Bourgeois

    (CNES Launcher Directorate)

  • A. Désilles

    (Unité de Mathématiques Appliquées (UMA), Ensta ParisTech)

  • H. Zidani

    (Unité de Mathématiques Appliquées (UMA), Ensta ParisTech)

Abstract

This paper deals with a trajectory optimization problem for a three-stage launcher with the aim to minimize the consumption of propellant needed to steer the launcher from the Earth to the GEO (geostationary orbit). Here we use a global optimization procedure based on Hamilton-Jacobi-Bellman approach and consider a complete model including the transfer from a GTO (geostationary transfer orbit) to the GEO. This model leads to an optimal control problem involving also some optimization parameters that appear in the flight phases. First, an adequate formulation of the control problem is introduced. Then, we discuss some theoretical results related to the value function and to the reconstruction of an optimal trajectory. Numerical simulations are given to show the relevance of the global optimization approach. This work has been undertaken in the frame of CNES Launchers’ Research and Technology program.

Suggested Citation

  • O. Bokanowski & E. Bourgeois & A. Désilles & H. Zidani, 2021. "Global Optimization Approach for the Ascent Problem of Multi-stage Launchers," Springer Books, in: Hans Georg Bock & Willi Jäger & Ekaterina Kostina & Hoang Xuan Phu (ed.), Modeling, Simulation and Optimization of Complex Processes HPSC 2018, pages 1-42, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-55240-4_1
    DOI: 10.1007/978-3-030-55240-4_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-55240-4_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.