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New Guidance, Navigation, and Control Technologies for Formation Flying Spacecraft and Planetary Landing

  • Fred Y. HadaeghEmail author
  • Andrew E. Johnson
  • David S. Bayard
  • Behçet Açıkmeşe
  • Soon-Jo Chung
  • Raman K. Mehra
Chapter
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 460)

Abstract

This chapter describes recent advancements in the areas of guidance, navigation, and control of distributed spacecraft systems or spacecraft formation flying of swarms of 100-gram class spacecraft and planetary landing. A review of advances in perception technologies for on-board hazard detection and terrain relative navigation is presented. The second part of this chapter is devoted to the discussion of innovative research on spacecraft swarms. Spacecraft swarms, comprised of hundreds to thousands of small spacecraft will push the frontier of the existing formation flying concepts by maximizing the benefits of distributed spacecraft systems. Novel control strategies of handling such a large spacecraft network are presented by employing synchronization control on adaptive graphs and probabilistic swarm guidance strategies. Furthermore, new filtering techniques that enable tracking of a large number of space objects are discussed.

Keywords

Field Programmable Gate Array Lunar Reconnaissance Orbiter Mars Science Laboratory Collision Satellite Collision Detection Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The research was carried out in part at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. The following people are thanked for their contributions: Saptarshi Bandyopadhyay and Daniel Morgan at UIUC; Milan Mandic at JPL; and Adel El-Fallah and Aleksandar Zatezalo at SSCI.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Fred Y. Hadaegh
    • 1
    Email author
  • Andrew E. Johnson
    • 1
  • David S. Bayard
    • 1
  • Behçet Açıkmeşe
    • 1
  • Soon-Jo Chung
    • 2
  • Raman K. Mehra
    • 3
  1. 1.Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCalifornia
  2. 2.University of Illinois at Urbana-ChampaignUrbanaUSA
  3. 3.Scientific Systems Company, Inc.WoburnUSA

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