Autonomous Low-Thrust Guidance: Application to SMART-1 and BepiColombo
: Several techniques have been developed to obtain optimum trajectories with low‐thrust propulsion. However, few low‐thrust guidance schemes have been investigated to fly the reference optimum trajectories. The guidance algorithm successfully employed in the DeepSpace1 mission was the first approxim...
Uloženo v:
| Vydáno v: | Annals of the New York Academy of Sciences Ročník 1017; číslo 1; s. 307 - 327 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Oxford, UK
Blackwell Publishing Ltd
01.05.2004
|
| Témata: | |
| ISSN: | 0077-8923, 1749-6632 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | : Several techniques have been developed to obtain optimum trajectories with low‐thrust propulsion. However, few low‐thrust guidance schemes have been investigated to fly the reference optimum trajectories. The guidance algorithm successfully employed in the DeepSpace1 mission was the first approximation through the presented guidance schemes, valid for various interplanetary low‐thrust trajectories, independently of the optimization technique they result from. A method is presented to transform any given thrust profile to a thrust law defined by a finite set of control variables. This law allows the definition of a control vector to be optimized for the guidance purposes. Simulations were carried out to compare the performances of the algorithms to very different missions, such as SMART‐1 and BepiColombo. The good performance of the enhanced guidance schemes prove the generic applicability of the algorithm. Parametric analysis allows the assessment of stability and robustness of the schemes and the sensitivity to certain parameters. |
|---|---|
| Bibliografie: | ArticleID:NYAS307 istex:69F3DE4C039D7E2DED8C2995D38FBBC8A4C6FC59 ark:/67375/WNG-HS75218C-S ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0077-8923 1749-6632 |
| DOI: | 10.1196/annals.1311.017 |