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...

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Vydané v:Annals of the New York Academy of Sciences Ročník 1017; číslo 1; s. 307 - 327
Hlavní autori: GIL-FERNÁNDEZ, JESÚS, GRAZIANO, MARIELLA, GÓMEZ-TIERNO, M A, MILIC, E
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.05.2004
Predmet:
guidance algorithms
interplanetary
least squares
linear corrections
low-thrust
recursive minimization
thrust discretization
thrust fitting
weighted line search
ISSN:0077-8923, 1749-6632
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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.
Bibliografia:ArticleID:NYAS307
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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