Payload optimization for multi-stage launchers using HJB approach and application to a SSO mission * *This work is partially supported by Centre National d’Études Spa-tiales (CNES), under the grant RT-NT-4310000-ZZ-1602-ENST, by the French National Research Agency (ANR) through the 'iCODE Institute project' funded by the IDEX Paris-Saclay ANR-11-IDEX-0003-02, and by the DGA research grant 0660037
| Autor: | Anna Desilles, Olivier Bokanowski, Hasnaa Zidani, Eric Bourgeois |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
021103 operations research Payload business.industry Computer science Astrophysics::Instrumentation and Methods for Astrophysics 0211 other engineering and technologies Hamilton–Jacobi–Bellman equation 02 engineering and technology 7. Clean energy Multi stage Orbit 020901 industrial engineering & automation Transfer orbit Control and Systems Engineering Hybrid system Physics::Space Physics Orbit (dynamics) Launch vehicle Astrophysics::Earth and Planetary Astrophysics Aerospace engineering business |
| Zdroj: | IFAC-PapersOnLine. 50:2904-2910 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2017.08.647 |
| Popis: | This paper deals with a payload optimization problem for three-stage space launcher. The mission of the launch vehicle is to put the payload on a sun-synchronous (SSO) orbit. The considered flight sequence includes two boosts. The first one steers the launcher to a transfer orbit. Then, after a ballistic flight, a second boost is used to perform the orbit transfer manoeuvre to inject the payload to the targeted SSO orbit. The optimization method presented here is based on the Hamilton-Jacobi-Bellman (HJB) approach for hybrid dynamical systems. |
| Databáze: | OpenAIRE |
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