DocumentCode
1712178
Title
Rule-based formation estimation of distributed Spacecraft
Author
Hadaegh, Fred Y. ; Kang, Bryan H. ; Scharf, Daniel P.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1331
Lastpage
1336
Abstract
This paper addresses an estimation problem specific to formation flying of spacecraft that can be approached with rule or logic based methodologies. A decentralized and self-centered framework of the estimator is formulated and shown to be a feasible estimation architecture under formation reconfiguration or formation member failures. A rule-based strategy is applied to the problem that switches the gain of the linear observer of the formation. Each gain set is derived from a constant gain linear observer optimized for either formation member acquisition or steady state operation. The formation member acquisition time can be critical when considering a dynamic formation reconfiguration followed by precision pointing required by scientific mission. This particular strategy has the advantages of onboard computational efficiency and fast filter convergence during formation initialization or formation member acquisition. A two-spacecraft simulation analysis was performed to demonstrate and validate the efficacy of the algorithm
Keywords
aerospace robotics; computational complexity; convergence; cooperative systems; decentralised control; filtering theory; intelligent control; knowledge based systems; mobile robots; multi-robot systems; space vehicles; Spacecraft formation flying; computational efficiency; decentralized framework; distributed Spacecraft; fast filter convergence; formation initialization; formation member acquisition; formation member failures; formation reconfiguration; logic based methodologies; rule based methodologies; rule-based formation estimation; rule-based strategy; self-centered framework; steady state operation; two-spacecraft simulation analysis; Computational efficiency; Computational modeling; Convergence; Filters; Gain; Observers; Reconfigurable logic; Space vehicles; Steady-state; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1008904
Filename
1008904
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